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AI models
deepseek

DeepSeek V4 Pro

AI model Released

API mode
Chat*
Context window
1,000,000 tokens
Maximum output
384,000 tokens
Open weights
Yes

Capability & preference

General capability · ECI

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

DeepSeek V4 Pro 149.1* DeepSeek-V4-Pro · 95% interval 147.2–150.9

Human preference · Arena

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

DeepSeek V4 Pro 1451.1 DeepSeek-V4-Pro · 95% interval 1447.3–1455.0 · 57,572 votes · 2026-10-28

Model performance

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

DeepSeek V4 Pro

Radar task score

Unrated

3/4 core tests · not enough evidence

5 benchmark results for this configuration

Scientific reasoning

GPQA Diamond · 25%

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

DeepSeek V4 Pro 89.6*% Approx. 95% interval: 86.2–93.1%

Novel problem solving

Mystery Game Puzzles · 25%

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

DeepSeek V4 Pro Not available

Advanced mathematics

FrontierMath Tiers 1-3 · 25%

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

DeepSeek V4 Pro 45.3*% Approx. 95% interval: 39.5–51.1%

Factual answers

SimpleQA Verified · 25%

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

DeepSeek V4 Pro 47.0*% Approx. 95% interval: 43.9–50.1%

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.

DeepSeek V4 Pro 96.7*% Approx. 95% interval: 92.7–100.0%

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.

DeepSeek V4 Pro 2.4*% Approx. 95% interval: 0.0–7.2%

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

  • Reported score · version unreported · intelligence44.30*Platform unreported Compare results

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

DeepSeek V4 Pro

1,481.52 rating

Confidence interval: 1,470.79 – 1,492.26

3380 votes

Category
chinese
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,468.95 rating

Confidence interval: 1,463.07 – 1,474.84

17146 votes

Category
coding
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,446.30 rating

Confidence interval: 1,439.10 – 1,453.51

9709 votes

Category
creative_writing
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,458.97 rating

Confidence interval: 1,453.88 – 1,464.05

25284 votes

Category
english
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,449.77 rating

Confidence interval: 1,444.73 – 1,454.81

43583 votes

Category
exclude_ties
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,462.61 rating

Confidence interval: 1,454.26 – 1,470.97

5922 votes

Category
expert
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,472.61 rating

Confidence interval: 1,458.21 – 1,487.01

2210 votes

Category
french
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,456.74 rating

Confidence interval: 1,437.50 – 1,475.98

995 votes

Category
german
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,460.98 rating

Confidence interval: 1,456.43 – 1,465.53

38501 votes

Category
hard_prompts
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,465.55 rating

Confidence interval: 1,459.74 – 1,471.36

17844 votes

Category
hard_prompts_english
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,443.00 rating

Confidence interval: 1,436.34 – 1,449.66

11378 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,430.81 rating

Confidence interval: 1,424.26 – 1,437.36

12804 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,464.41 rating

Confidence interval: 1,454.96 – 1,473.86

4487 votes

Category
industry_legal_and_government
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,470.01 rating

Confidence interval: 1,462.95 – 1,477.07

9171 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,455.37 rating

Confidence interval: 1,444.52 – 1,466.22

3293 votes

Category
industry_mathematical
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,465.55 rating

Confidence interval: 1,455.58 – 1,475.52

4060 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,468.42 rating

Confidence interval: 1,463.19 – 1,473.66

23647 votes

Category
industry_software_and_it_services
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,447.34 rating

Confidence interval: 1,441.06 – 1,453.62

14120 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,445.24 rating

Confidence interval: 1,439.68 – 1,450.80

20026 votes

Category
instruction_following
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,445.40 rating

Confidence interval: 1,422.08 – 1,468.71

725 votes

Category
japanese
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,409.19 rating

Confidence interval: 1,390.35 – 1,428.02

1107 votes

Category
korean
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,457.35 rating

Confidence interval: 1,452.06 – 1,462.65

25924 votes

Category
longer_query
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,442.50 rating

Confidence interval: 1,431.43 – 1,453.57

3061 votes

Category
math
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,467.43 rating

Confidence interval: 1,460.45 – 1,474.41

10354 votes

Category
multi_turn
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,439.01 rating

Confidence interval: 1,434.31 – 1,443.71

32288 votes

Category
non_english
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,451.13 rating

Confidence interval: 1,447.25 – 1,455.01

57572 votes

Category
overall
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,460.75 rating

Confidence interval: 1,442.90 – 1,478.59

1123 votes

Category
polish
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,453.02 rating

Confidence interval: 1,444.85 – 1,461.19

6314 votes

Category
russian
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-28 · rating

DeepSeek V4 Pro

1,455.89 rating

Confidence interval: 1,440.76 – 1,471.02

1728 votes

Category
spanish
Evaluated configuration
DeepSeek-V4-Pro
Evaluation type
human preference
Arena text preference / chinesehuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,480.82 rating

Confidence interval: 1,470.09 – 1,491.55

3389 votes

Category
chinese
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,469.32 rating

Confidence interval: 1,463.43 – 1,475.21

17136 votes

Category
coding
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,445.88 rating

Confidence interval: 1,438.67 – 1,453.09

9726 votes

Category
creative_writing
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,459.34 rating

Confidence interval: 1,454.25 – 1,464.43

25292 votes

Category
english
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,449.78 rating

Confidence interval: 1,444.73 – 1,454.83

43602 votes

Category
exclude_ties
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,463.11 rating

Confidence interval: 1,454.73 – 1,471.48

5913 votes

Category
expert
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,472.73 rating

Confidence interval: 1,458.27 – 1,487.19

2211 votes

Category
french
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,458.00 rating

Confidence interval: 1,438.70 – 1,477.29

997 votes

Category
german
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,461.30 rating

Confidence interval: 1,456.75 – 1,465.86

38511 votes

Category
hard_prompts
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,466.05 rating

Confidence interval: 1,460.23 – 1,471.86

17840 votes

Category
hard_prompts_english
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,443.29 rating

Confidence interval: 1,436.63 – 1,449.95

11386 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,430.46 rating

Confidence interval: 1,423.90 – 1,437.01

12801 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,464.17 rating

Confidence interval: 1,454.71 – 1,473.63

4494 votes

Category
industry_legal_and_government
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,470.11 rating

Confidence interval: 1,463.04 – 1,477.18

9166 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,455.16 rating

Confidence interval: 1,444.29 – 1,466.04

3288 votes

Category
industry_mathematical
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,465.51 rating

Confidence interval: 1,455.54 – 1,475.48

4066 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,468.95 rating

Confidence interval: 1,463.71 – 1,474.19

23637 votes

Category
industry_software_and_it_services
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,446.96 rating

Confidence interval: 1,440.68 – 1,453.25

14140 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,445.13 rating

Confidence interval: 1,439.56 – 1,450.70

20027 votes

Category
instruction_following
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,445.57 rating

Confidence interval: 1,422.06 – 1,469.07

722 votes

Category
japanese
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,409.13 rating

Confidence interval: 1,390.28 – 1,427.97

1111 votes

Category
korean
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,457.40 rating

Confidence interval: 1,452.11 – 1,462.70

25932 votes

Category
longer_query
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,442.80 rating

Confidence interval: 1,431.72 – 1,453.87

3063 votes

Category
math
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,467.38 rating

Confidence interval: 1,460.40 – 1,474.36

10357 votes

Category
multi_turn
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,438.78 rating

Confidence interval: 1,434.08 – 1,443.48

32302 votes

Category
non_english
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,451.16 rating

Confidence interval: 1,447.28 – 1,455.04

57594 votes

Category
overall
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,461.21 rating

Confidence interval: 1,443.35 – 1,479.07

1124 votes

Category
polish
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,452.46 rating

Confidence interval: 1,444.29 – 1,460.63

6319 votes

Category
russian
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-15 · rating

DeepSeek V4 Pro

1,456.25 rating

Confidence interval: 1,441.10 – 1,471.40

1731 votes

Category
spanish
Evaluated configuration
deepseek-v4-pro
Evaluation type
human preference

Run it locally

Inference · memory estimate

DeepSeek V4 Pro

Not enough verified architecture information for a reliable VRAM estimate.

API cost

USD / month

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

DeepSeek V4 Pro

DeepSeek V4 Pro / Pricing tiers 2
Provider / scopeRateCurrencyAmount / unit
DeepInfradeepseek-ai/DeepSeek-V4-ProStandard Cached inputUSD0.1 / 1M tokens
InputUSD1.3 / 1M tokens
OutputUSD2.6 / 1M tokens
SiliconFlowdeepseek-ai/DeepSeek-V4-ProStandard Cached inputCNY1 / 1M tokens
InputCNY12 / 1M tokens
OutputCNY24 / 1M tokens

Capabilities

Context window
1,000,000 tokens
Maximum input
1,000,000 tokens*
Maximum output
384,000 tokens
Reasoning
Yes
Tool calling
Yes
Structured output
Yes*
Open weights
Yes
Knowledge cutoff
2025-05
API mode
Chat*
Declared context window
1M*
Model type
LLM (MoE)*
Declared modalities
Text → Text*
Image input
No*
Parallel tool calls
Yes*
Prompt caching
Yes*
System messages
Yes*
Tool choice
Yes*
Model license
MIT

Input modalities

  • text

Output modalities

  • text

Processing & platform

Architecture
deepseek_v4

System configuration

Detailed specifications

Specifications 1 · 17 fields
api providers
DeepSeek, OpenRouter*
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
DeepSeek*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
developer
DeepSeek*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
input price
0.435*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
intelligence
44.3*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
license
MIT (open)*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
max output
384K*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
min gpu
Multi-GPU server (e.g. 8× H100 80GB)*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
modality
Text → 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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
model type
LLM (MoE)*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
name
DeepSeek V4-Pro*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
open weights
yes*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
output price
0.87*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
parameters
1.6T total / ~49B active (MoE)*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
release date
2026-04*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
vram q4
~800 GB*
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
vram q4 gb
800* GB
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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
Specifications 2 · 44 fields
cache creation input token cost
0.0*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
0.0*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
4.4e-8*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
4.4e-8*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
1.32e-6*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
1.32e-6*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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 cache hit
4.4e-8*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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 cache hit
4.4e-8*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
deepseek*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
deepseek*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
393,216*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
393,216*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
393,216*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
393,216*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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.*
off peak pricing
cache_read_input_token_cost
2.2e-8*
input_cost_per_token
6.6e-7*
output_cost_per_token
1.98e-6*
windows
  • hours_utc
    • 00:00-01:00*
    • 04:00-06:00*
    • 10:00-00:00*
    weekdays
    • 1*
    • 2*
    • 3*
    • 4*
    • 5*
  • hours_utc
    00:00-00:00*
    weekdays
    • 6*
    • 7*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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.*
off peak pricing
cache_read_input_token_cost
2.2e-8*
input_cost_per_token
6.6e-7*
output_cost_per_token
1.98e-6*
windows
  • hours_utc
    • 00:00-01:00*
    • 04:00-06:00*
    • 10:00-00:00*
    weekdays
    • 1*
    • 2*
    • 3*
    • 4*
    • 5*
  • hours_utc
    00:00-00:00*
    weekdays
    • 6*
    • 7*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
3.96e-6*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
3.96e-6*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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.*
supported endpoints
  • /v1/chat/completions*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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.*
supported endpoints
  • /v1/chat/completions*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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 streaming
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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 streaming
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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 function calling
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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 function calling
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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 system messages
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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 system messages
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
No*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek-v4-pro*
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
No*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v4-pro*
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.*

* Provisional data