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AI models
anthropic

Claude Fable 5

AI model Released

API mode
Chat*
Context window
1,000,000 tokens
Maximum output
128,000 tokens
Open weights
No

Capability & preference

General capability · ECI

A cross-benchmark capability estimate. Index points, not a percentage; intervals show uncertainty.

Claude Fable 5 163.0* Claude Fable 5 · 95% interval 160.6–167.1

Human preference · Arena

Overall text preferences from head-to-head votes. Not factual accuracy or a task-success rate.

Claude Fable 5 1491.6 Claude Fable 5 (High) · 95% interval 1487.4–1495.7 · 45,341 votes · 2026-10-28

Model performance

Radar task score: four tests, equal weight. An experimental summary of these tasks, not a universal intelligence rating.

Claude Fable 5

Radar task score

Unrated

3/4 core tests · not enough evidence

6 benchmark results for this configuration

Scientific reasoning

GPQA Diamond · 25%

Expert-written science questions; strict multiple-choice scoring. Chance accuracy is 25%.

Claude Fable 5 85.9*% Approx. 95% interval: 81.0–90.7%

Novel problem solving

Mystery Game Puzzles · 25%

Best-next-move puzzles in an undisclosed game variant. A narrow reasoning test, not general intelligence.

Claude Fable 5 52.0*% Approx. 95% interval: 42.2–61.8%

Advanced mathematics

FrontierMath Tiers 1-3 · 25%

Private v2 mathematics problems with Python tools. Earlier versions and Tier 4 are excluded.

Claude Fable 5 87.0*% Approx. 95% interval: 83.1–90.9%

Factual answers

SimpleQA Verified · 25%

Correct factual answers under a guessing prompt, graded by a model. Not a hallucination or abstention score.

Claude Fable 5 Not available

Competition mathematics

OTIS Mock AIME 2024-2025 · Separate result

Competition problems with model-extracted answers checked against an exact key. Earlier grading procedures are excluded.

Claude Fable 5 99.7*% Approx. 95% interval: 99.2–100.0%

Research mathematics

FrontierMath Tier 4 v2 · Separate result

The hardest private FrontierMath problems, corrected v2 set, with Python tools. Separate from Tiers 1-3 in the core score.

Claude Fable 5 90.2*% Approx. 95% interval: 81.2–99.2%

Visual spatial reasoning

Furniture Assembly · Separate result

Assembly-error detection from photos and manuals, with zoom and Python tools. Uses model-assisted grading; not a general vision score.

Claude Fable 5 35.8*% Approx. 95% interval: 23.7–48.0%

Bars show reported task scores. Whiskers are approximate 95% intervals where standard errors are available. Different reasoning budgets are not equal-cost tests. Missing results are never zero.

Benchmark results

  • $OneMillion-Bench (expert score) · version unreported · reported score55.90*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Judge
    gemini-3.1-pro-preview*
  • AndroidBench · version unreported · reported score · Public subset · avg@384.50*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Tasks
    95*
    Statistic
    avg@3*
    Task set
    Public subset*
  • Automation-Bench (Pass@1) · version unreported · reported score · Public subset29.10*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Tasks
    600*
    Task set
    Public subset*
  • CoWorkBench · version unreported · reported score · Internal75.90*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Task set
    Internal*
  • DeepSWE 1.1 · 1.1 · reported score · Claude Code or mini-SWE-agent; winning harness unspecified · Highest result across two harnesses70*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    Claude Code or mini-SWE-agent; winning harness unspecified*
    Statistic
    Highest result across two harnesses*
    Temperature
    1.0*
    Top p
    0.95*
    Context length
    256K tokens*
  • FrontierSWE · version unreported · reported score · Not specified · Dominance recomputed from raw results88.80*Platform unreported Compare results
    Test conditions
    Metric
    Dominance score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    Not specified*
    Statistic
    Dominance recomputed from raw results*
    Evaluation date
    2026-08-03*
    Variant
    MEAN@5 submissions*
  • GPQA Diamond · version unreported · reported score92.60*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
  • HLE · version unreported · reported score · Disabled53.30*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Tool access
    Disabled*
  • HLE w/ tools · version unreported · reported score · Enabled64.50*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Tool access
    Enabled*
  • IFBench · version unreported · reported score63.50*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
  • JobBench · version unreported · reported score57.40*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
  • MLS-Bench-Lite · version unreported · reported score · Not specified49.90*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    Not specified*
  • PaperBench · version unreported · reported score · BasicAgent88.80*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    BasicAgent*
    Variant
    Code-Dev*
    Judge
    Claude Opus 4.6*
    Runs
    3*
    Timeout
    12 hours per run*
  • PLawBench · version unreported · reported score70.20*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Judge
    gemini-3.1-pro-preview*
  • PRBench-Finance · version unreported · reported score55.80*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
  • PRBench-Legal · version unreported · reported score57.60*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
  • QwenQoderBench · version unreported · reported score · Claude Code · Internal · avg@563.10*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    Claude Code*
    Statistic
    avg@5*
    Timeout
    6 hours*
    Task set
    Internal*
    Maximum output
    32,768*
    Temperature
    1.0*
    Context length
    256K tokens*
  • QwenReactBench · version unreported · reported score · Claude Code · Internal1,770* EloPlatform unreported Compare results
    Test conditions
    Metric
    BT/Elo rating*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Languages
    English and Chinese*
    Judge
    Multimodal automatic judge*
    Task set
    Internal*
    Harness
    Claude Code*
  • QwenSVGBench · version unreported · reported score · Not specified · Internal1,690* EloPlatform unreported Compare results
    Test conditions
    Metric
    BT/Elo rating*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Languages
    English and Chinese*
    Judge
    Multimodal automatic judge*
    Task set
    Internal*
    Harness
    Not specified*
  • QwenSWEBench · version unreported · reported score · Claude Code · Internal · avg@386.30*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    Claude Code*
    Statistic
    avg@3*
    Timeout
    8 hours*
    Task set
    Internal*
    Maximum output
    32,768*
    Temperature
    1.0*
    Context length
    256K tokens*
  • SkillsBench · version unreported · reported score · Claude Code · Public SkillsBench v1.1 · Average of three runs per task70.90*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    Claude Code*
    Tasks
    87*
    Statistic
    Average of three runs per task*
    Task set
    Public SkillsBench v1.1*
  • Reported score · version unreported · intelligence60*Platform unreported Compare results
  • SWE-bench Pro · version unreported · reported score · Claude Code · Refined task set with corrected problematic tasks80*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    Claude Code*
    Task set
    Refined task set with corrected problematic tasks*
    Temperature
    1.0*
    Top p
    0.95*
    Context length
    256K tokens*
  • Terminal Bench 2.1 · 2.1 · reported score · Terminus 2 · Best published result across harnesses84.60*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    Terminus 2*
    Statistic
    Best published result across harnesses*
  • Toolathlon Verified (Pass@1) · version unreported · reported score77.90*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
  • WideSearch · version unreported · reported score · Claude Code · Average item F1 over four runs81.20*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*
    Harness
    Claude Code*
    Statistic
    Average item F1 over four runs*
  • WorkSpaceBench · version unreported · reported score68.70*Platform unreported Compare results
    Test conditions
    Metric
    reported score*
    Checkpoint version
    Not specified*
    Fallbacks
    May include fallback models*

Recorded results

Only the same benchmark, version, workload, scenario and unit share a row. Missing results are not zero. System results include the full submitted hardware and software configuration.

Arena text preference / chinesehuman preference · 2026-10-28 · rating

Claude Fable 5

1,543.95 rating

Confidence interval: 1,533.06 – 1,554.84

3360 votes

Category
chinese
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating

Claude Fable 5

1,517.78 rating

Confidence interval: 1,511.40 – 1,524.17

11629 votes

Category
coding
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating

Claude Fable 5

1,493.41 rating

Confidence interval: 1,486.21 – 1,500.61

9760 votes

Category
creative_writing
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating

Claude Fable 5

1,498.26 rating

Confidence interval: 1,492.88 – 1,503.64

19239 votes

Category
english
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating

Claude Fable 5

1,504.12 rating

Confidence interval: 1,498.72 – 1,509.52

34119 votes

Category
exclude_ties
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating

Claude Fable 5

1,534.75 rating

Confidence interval: 1,525.70 – 1,543.79

4990 votes

Category
expert
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating

Claude Fable 5

1,506.88 rating

Confidence interval: 1,490.36 – 1,523.40

1582 votes

Category
french
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating

Claude Fable 5

1,483.05 rating

Confidence interval: 1,460.29 – 1,505.81

709 votes

Category
german
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating

Claude Fable 5

1,507.60 rating

Confidence interval: 1,502.76 – 1,512.44

29412 votes

Category
hard_prompts
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating

Claude Fable 5

1,509.55 rating

Confidence interval: 1,503.33 – 1,515.76

12545 votes

Category
hard_prompts_english
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · rating

Claude Fable 5

1,479.64 rating

Confidence interval: 1,472.59 – 1,486.69

8918 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-28 · rating

Claude Fable 5

1,481.95 rating

Confidence interval: 1,475.34 – 1,488.56

11846 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-28 · rating

Claude Fable 5

1,497.97 rating

Confidence interval: 1,487.55 – 1,508.39

3755 votes

Category
industry_legal_and_government
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-28 · rating

Claude Fable 5

1,507.60 rating

Confidence interval: 1,500.01 – 1,515.18

7375 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-28 · rating

Claude Fable 5

1,517.61 rating

Confidence interval: 1,505.55 – 1,529.66

2647 votes

Category
industry_mathematical
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-28 · rating

Claude Fable 5

1,480.01 rating

Confidence interval: 1,468.81 – 1,491.20

3206 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-28 · rating

Claude Fable 5

1,512.10 rating

Confidence interval: 1,506.51 – 1,517.69

16769 votes

Category
industry_software_and_it_services
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-28 · rating

Claude Fable 5

1,501.20 rating

Confidence interval: 1,494.80 – 1,507.61

12718 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-28 · rating

Claude Fable 5

1,502.52 rating

Confidence interval: 1,496.69 – 1,508.34

15981 votes

Category
instruction_following
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-28 · rating

Claude Fable 5

1,503.37 rating

Confidence interval: 1,479.17 – 1,527.58

688 votes

Category
japanese
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-28 · rating

Claude Fable 5

1,488.14 rating

Confidence interval: 1,466.06 – 1,510.23

839 votes

Category
korean
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-28 · rating

Claude Fable 5

1,510.24 rating

Confidence interval: 1,504.73 – 1,515.76

20980 votes

Category
longer_query
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-28 · rating

Claude Fable 5

1,516.22 rating

Confidence interval: 1,503.58 – 1,528.85

2270 votes

Category
math
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-28 · rating

Claude Fable 5

1,503.42 rating

Confidence interval: 1,495.71 – 1,511.13

7354 votes

Category
multi_turn
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-28 · rating

Claude Fable 5

1,481.76 rating

Confidence interval: 1,476.85 – 1,486.67

26096 votes

Category
non_english
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-28 · rating

Claude Fable 5

1,491.56 rating

Confidence interval: 1,487.38 – 1,495.74

45341 votes

Category
overall
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-28 · rating

Claude Fable 5

1,492.73 rating

Confidence interval: 1,470.42 – 1,515.04

671 votes

Category
polish
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-28 · rating

Claude Fable 5

1,502.50 rating

Confidence interval: 1,493.69 – 1,511.30

5181 votes

Category
russian
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-28 · rating

Claude Fable 5

1,492.95 rating

Confidence interval: 1,476.53 – 1,509.36

1433 votes

Category
spanish
Evaluated configuration
Claude Fable 5 (High)
Evaluation type
human preference

Run it locally

Inference · memory estimate

Claude Fable 5

Closed weights. No supported local deployment or GPU requirement is published.

API cost

USD / month

Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.

Claude Fable 5

Claude Fable 5 / Pricing tiers 5
Provider / scopeRateCurrencyAmount / unit
AWS BedrockClaude Fable 5Standard Global cross-region Cached inputUSD1 / 1M tokens
InputUSD10 / 1M tokens
OutputUSD50 / 1M tokens
DeepInfraanthropic/claude-fable-5Standard InputUSD10 / 1M tokens
OutputUSD50 / 1M tokens
Google Vertex AIClaude Fable 5Batch Token tier: 0 – 200,000 Cached inputUSD0.5 / 1M tokens
InputUSD5 / 1M tokens
OutputUSD25 / 1M tokens
Google Vertex AIClaude Fable 5Standard Token tier: 0 – 200,000 Cached inputUSD1 / 1M tokens
InputUSD10 / 1M tokens
OutputUSD50 / 1M tokens
Google Vertex AIClaude Fable 5Standard Token tier: 200,000 – No stated upper limit Cached inputUSD1 / 1M tokens
InputUSD10 / 1M tokens
OutputUSD50 / 1M tokens

Capabilities

Context window
1,000,000 tokens
Maximum input
1,000,000 tokens*
Maximum output
128,000 tokens
Reasoning
Yes
Tool calling
Yes
Structured output
Yes*
Open weights
No
Knowledge cutoff
2026-01-31
API mode
Chat*
Declared context window
1M*
Model type
LLM (frontier reasoning)*
Declared modalities
Text, Vision → Text*
Image input
Yes*
PDF input
Yes*
Prompt caching
Yes*
Tool choice
Yes*
Web search
Yes*
Model license
Proprietary

Input modalities

  • text
  • image
  • pdf

Output modalities

  • text

System configuration

Detailed specifications

Specifications 1 · 13 fields
api providers
Anthropic, AWS*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
context window
1M*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
developer
Anthropic*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
input price
10*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
intelligence
60*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
license
Proprietary*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
max output
128K*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
modality
Text, Vision → Text*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
model type
LLM (frontier reasoning)*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
name
Claude Fable 5*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
open weights
no*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
output price
50*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
release date
2026*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Anthropic*
price_unit
Not reported*
price_tiers
Not reported*
Specifications 2 · 68 fields
bedrock output config effort ceiling
xhigh*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache creation input token cost
1.25e-5*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache creation input token cost
1.25e-5*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache creation input token cost above 1hr
2.0e-5*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache creation input token cost above 1hr
2.0e-5*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache creation input token cost batches
6.25e-6*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost
1.0e-6*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost
1.0e-6*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost batches
5.0e-7*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token
1.0e-5*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token
1.0e-5*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token batches
5.0e-6*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
bedrock_converse*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
anthropic*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
1,000,000*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
1,000,000*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
128,000*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
128,000*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
128,000*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
128,000*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
chat*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
chat*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
5.0e-5*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
5.0e-5*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token batches
2.5e-5*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
prompt cache min tokens
512*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
prompt cache min tokens
512*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
provider specific entry
us
1.1*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
search context cost per query
search_context_size_high
0.01*
search_context_size_low
0.01*
search_context_size_medium
0.01*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
search context cost per query
search_context_size_high
0.01*
search_context_size_low
0.01*
search_context_size_medium
0.01*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports adaptive thinking
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports adaptive thinking
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports anthropic compaction
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports assistant prefill
No*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports assistant prefill
No*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports computer use
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports computer use
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports function calling
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports function calling
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports max reasoning effort
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports max reasoning effort
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports mid conversation system
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports mid conversation system
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports native structured output
No*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports native structured output
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports output config
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports output config
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports parallel tool use config
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports pdf input
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports pdf input
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports prompt caching
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports prompt caching
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports reasoning
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports reasoning
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports response schema
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports response schema
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports sampling params
No*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports sampling params
No*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool choice
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool choice
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports vision
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports vision
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports web search
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports xhigh reasoning effort
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports xhigh reasoning effort
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
thinking always on
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
thinking always on
Yes*
Scope and conditions
native_context
provider
anthropic*
mode
chat*
full_native_model_id
claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
token count model
model
anthropic.claude-fable-5*
litellm_provider
bedrock_mantle*
region
us-east-1*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
anthropic.claude-fable-5*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
Specifications 3 · 26 fields
QwenSWEBench
suite
QwenSWEBench
workload
reported score · Claude Code · Internal · avg@3
score
86.3*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
Claude Code*
Statistic
avg@3*
Timeout
8 hours*
Task set
Internal*
Maximum output
32,768*
Temperature
1.0*
Context length
256K tokens*
QwenQoderBench
suite
QwenQoderBench
workload
reported score · Claude Code · Internal · avg@5
score
63.1*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
Claude Code*
Statistic
avg@5*
Timeout
6 hours*
Task set
Internal*
Maximum output
32,768*
Temperature
1.0*
Context length
256K tokens*
QwenReactBench
suite
QwenReactBench
workload
reported score · Claude Code · Internal
score
1,770.0*
unit
Elo
Scope and conditions
Test conditions
Metric
BT/Elo rating*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Languages
English and Chinese*
Judge
Multimodal automatic judge*
Task set
Internal*
Harness
Claude Code*
QwenSVGBench
suite
QwenSVGBench
workload
reported score · Not specified · Internal
score
1,690.0*
unit
Elo
Scope and conditions
Test conditions
Metric
BT/Elo rating*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Languages
English and Chinese*
Judge
Multimodal automatic judge*
Task set
Internal*
Harness
Not specified*
CoWorkBench
suite
CoWorkBench
workload
reported score · Internal
score
75.9*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Task set
Internal*
WorkSpaceBench
suite
WorkSpaceBench
workload
reported score
score
68.7*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
JobBench
suite
JobBench
workload
reported score
score
57.4*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
SkillsBench
suite
SkillsBench
workload
reported score · Claude Code · Public SkillsBench v1.1 · Average of three runs per task
score
70.9*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
Claude Code*
Tasks
87*
Statistic
Average of three runs per task*
Task set
Public SkillsBench v1.1*
Terminal Bench 2.1
suite
Terminal Bench 2.1
version
2.1
workload
reported score · Terminus 2 · Best published result across harnesses
score
84.6*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
Terminus 2*
Statistic
Best published result across harnesses*
Automation-Bench (Pass@1)
suite
Automation-Bench (Pass@1)
workload
reported score · Public subset
score
29.1*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Tasks
600*
Task set
Public subset*
Toolathlon Verified (Pass@1)
suite
Toolathlon Verified (Pass@1)
workload
reported score
score
77.9*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
WideSearch
suite
WideSearch
workload
reported score · Claude Code · Average item F1 over four runs
score
81.2*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
Claude Code*
Statistic
Average item F1 over four runs*
HLE w/ tools
suite
HLE w/ tools
workload
reported score · Enabled
score
64.5*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Tool access
Enabled*
GPQA Diamond
suite
GPQA Diamond
workload
reported score
score
92.6*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
HLE
suite
HLE
workload
reported score · Disabled
score
53.3*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Tool access
Disabled*
IFBench
suite
IFBench
workload
reported score
score
63.5*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
$OneMillion-Bench (expert score)
suite
$OneMillion-Bench (expert score)
workload
reported score
score
55.9*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Judge
gemini-3.1-pro-preview*
SWE-bench Pro
suite
SWE-bench Pro
workload
reported score · Claude Code · Refined task set with corrected problematic tasks
score
80.0*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
Claude Code*
Task set
Refined task set with corrected problematic tasks*
Temperature
1.0*
Top p
0.95*
Context length
256K tokens*
PLawBench
suite
PLawBench
workload
reported score
score
70.2*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Judge
gemini-3.1-pro-preview*
PRBench-Legal
suite
PRBench-Legal
workload
reported score
score
57.6*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
PRBench-Finance
suite
PRBench-Finance
workload
reported score
score
55.8*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
DeepSWE 1.1
suite
DeepSWE 1.1
version
1.1
workload
reported score · Claude Code or mini-SWE-agent; winning harness unspecified · Highest result across two harnesses
score
70.0*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
Claude Code or mini-SWE-agent; winning harness unspecified*
Statistic
Highest result across two harnesses*
Temperature
1.0*
Top p
0.95*
Context length
256K tokens*
FrontierSWE
suite
FrontierSWE
workload
reported score · Not specified · Dominance recomputed from raw results
score
88.8*
Scope and conditions
Test conditions
Metric
Dominance score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
Not specified*
Statistic
Dominance recomputed from raw results*
Evaluation date
2026-08-03*
Variant
MEAN@5 submissions*
MLS-Bench-Lite
suite
MLS-Bench-Lite
workload
reported score · Not specified
score
49.9*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
Not specified*
PaperBench
suite
PaperBench
workload
reported score · BasicAgent
score
88.8*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Harness
BasicAgent*
Variant
Code-Dev*
Judge
Claude Opus 4.6*
Runs
3*
Timeout
12 hours per run*
AndroidBench
suite
AndroidBench
workload
reported score · Public subset · avg@3
score
84.5*
Scope and conditions
Test conditions
Metric
reported score*
Checkpoint version
Not specified*
Fallbacks
May include fallback models*
Tasks
95*
Statistic
avg@3*
Task set
Public subset*

* Provisional data