Radar task score: four tests, equal weight. An experimental summary of these tasks, not a universal intelligence rating.
DeepSeek-R1
Radar task score
/ 100
1/4 core tests · not enough evidence
1 benchmark results for this configuration
Scientific reasoning
GPQA Diamond · 25%
Expert-written science questions; strict multiple-choice scoring. Chance accuracy is 25%.
050100%
DeepSeek-R169.2*%Approx. 95% interval: 63.2–75.2% · Older result
Novel problem solving
Mystery Game Puzzles · 25%
Best-next-move puzzles in an undisclosed game variant. A narrow reasoning test, not general intelligence.
050100%
DeepSeek-R1Not available
Advanced mathematics
FrontierMath Tiers 1-3 · 25%
Private v2 mathematics problems with Python tools. Earlier versions and Tier 4 are excluded.
050100%
DeepSeek-R1Not available
Factual answers
SimpleQA Verified · 25%
Correct factual answers under a guessing prompt, graded by a model. Not a hallucination or abstention score.
050100%
DeepSeek-R1Not available
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 · intelligence20.10*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-R1
1,400.05 rating
Confidence interval: 1,382.01 – 1,418.09
1151 votes
Category
chinese
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating
DeepSeek-R1
1,371.11 rating
Confidence interval: 1,359.36 – 1,382.86
2317 votes
Category
coding
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating
DeepSeek-R1
1,353.91 rating
Confidence interval: 1,343.63 – 1,364.20
3289 votes
Category
creative_writing
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating
DeepSeek-R1
1,385.06 rating
Confidence interval: 1,378.97 – 1,391.15
10721 votes
Category
english
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating
DeepSeek-R1
1,345.74 rating
Confidence interval: 1,338.56 – 1,352.92
12504 votes
Category
exclude_ties
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating
DeepSeek-R1
1,337.37 rating
Confidence interval: 1,317.72 – 1,357.03
848 votes
Category
expert
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating
DeepSeek-R1
1,366.71 rating
Confidence interval: 1,324.48 – 1,408.93
188 votes
Category
french
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating
DeepSeek-R1
1,384.48 rating
Confidence interval: 1,356.32 – 1,412.63
436 votes
Category
german
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating
DeepSeek-R1
1,361.08 rating
Confidence interval: 1,352.16 – 1,370.00
4116 votes
Category
hard_prompts
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating
DeepSeek-R1
1,374.61 rating
Confidence interval: 1,363.50 – 1,385.72
2656 votes
Category
hard_prompts_english
Evaluated configuration
DeepSeek-R1
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · rating
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-15 · rating
DeepSeek-R1
1,346.70 rating
Confidence interval: 1,336.92 – 1,356.47
3571 votes
Category
industry_entertainment_and_sports_and_media
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-15 · rating
DeepSeek-R1
1,370.77 rating
Confidence interval: 1,353.20 – 1,388.34
1097 votes
Category
industry_legal_and_government
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-15 · rating
DeepSeek-R1
1,375.19 rating
Confidence interval: 1,364.94 – 1,385.45
3309 votes
Category
industry_life_and_physical_and_social_science
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-15 · rating
DeepSeek-R1
1,389.28 rating
Confidence interval: 1,374.56 – 1,403.99
1504 votes
Category
industry_mathematical
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-15 · rating
DeepSeek-R1
1,370.53 rating
Confidence interval: 1,349.92 – 1,391.14
830 votes
Category
industry_medicine_and_healthcare
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-15 · rating
DeepSeek-R1
1,374.94 rating
Confidence interval: 1,365.80 – 1,384.08
3954 votes
Category
industry_software_and_it_services
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-15 · rating
DeepSeek-R1
1,364.36 rating
Confidence interval: 1,356.21 – 1,372.51
5355 votes
Category
industry_writing_and_literature_and_language
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-15 · rating
DeepSeek-R1
1,357.27 rating
Confidence interval: 1,349.81 – 1,364.74
6426 votes
Category
instruction_following
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-15 · rating
DeepSeek-R1
1,324.19 rating
Confidence interval: 1,298.32 – 1,350.06
468 votes
Category
japanese
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-15 · rating
DeepSeek-R1
1,329.46 rating
Confidence interval: 1,289.81 – 1,369.10
215 votes
Category
korean
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-15 · rating
DeepSeek-R1
1,354.75 rating
Confidence interval: 1,342.84 – 1,366.66
2303 votes
Category
longer_query
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-15 · rating
DeepSeek-R1
1,392.47 rating
Confidence interval: 1,378.45 – 1,406.48
1606 votes
Category
math
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-15 · rating
DeepSeek-R1
1,390.54 rating
Confidence interval: 1,378.66 – 1,402.42
2418 votes
Category
multi_turn
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-15 · rating
DeepSeek-R1
1,356.54 rating
Confidence interval: 1,349.76 – 1,363.32
7803 votes
Category
non_english
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-15 · rating
DeepSeek-R1
1,372.65 rating
Confidence interval: 1,367.81 – 1,377.50
18524 votes
Category
overall
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-15 · rating
DeepSeek-R1
1,354.28 rating
Confidence interval: 1,341.45 – 1,367.12
1904 votes
Category
russian
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-15 · rating
DeepSeek-R1
1,378.83 rating
Confidence interval: 1,325.87 – 1,431.78
114 votes
Category
spanish
Evaluated configuration
deepseek-r1
Evaluation type
human preference
Run it locally
Inference · memory estimate
DeepSeek-R1
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-R1
DeepSeek-R1 / Pricing tiers 2
Provider / scope
Rate
Currency
Amount / unit
AWS BedrockDeepSeek-R1Standard
Input
USD
1.35 / 1M tokens
AWS BedrockDeepSeek-R1StandardGlobal cross-region
Input
USD
1.35 / 1M tokens
Output
USD
5.4 / 1M tokens
Capabilities
Context window
128,000 tokens
Maximum input
65,536 tokens*
Maximum output
32,768 tokens
Reasoning
Yes
Tool calling
Yes
Open weights
Yes
Knowledge cutoff
2024-07
API mode
Chat*
Declared context window
128K*
Model type
LLM (MoE, reasoning)*
Declared modalities
Text → Text*
Prompt caching
Yes*
Tool choice
Yes*
Model license
MIT
Input modalities
text
Output modalities
text
Processing & platform
Architecture
deepseek_v3
System configuration
Detailed specifications
Specifications 1 · 16 fields
api providers
DeepSeek, DeepInfra, 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
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
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
0.5*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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
intelligence
20.1*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*
min gpu
Multi-GPU server*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, 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
DeepSeek*
price_unit
Not reported*
price_tiers
Not reported*
name
DeepSeek R1*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
2.15*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
671B total / 37B 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
2025*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
~400 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
400* GBScope 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 · 14 fields
cache read input token cost
1.4e-7*Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-r1*
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
5.5e-7*Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-r1*
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
1.4e-7*Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-r1*
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-r1*
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
65,536*Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-r1*
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
8,192*Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-r1*
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
8,192*Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-r1*
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-r1*
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
2.19e-6*Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-r1*
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-r1*
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-r1*
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-r1*
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-r1*
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-r1*
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.*