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DeepSeekR1

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DeepSeek-R1 is an open-weight language model published by DeepSeek.

Token context
164K tokens
Inputs
Text
Outputs
Text
Released
Jan 20, 2025

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #42 of 57

  1. 100.0*Claude Opus 5.5
  2. 99.0Claude Fable 5.1
  3. 90.9*GPT-5.5 Pro
  4. 90.0Gemini 3.8 Flash
  5. 85.9GPT-6.1 Sol
  6. 84.6GPT-6 Astra
  7. 83.4*Qwen3.8 Max
  8. 83.3*DeepSeek V4.1 Flash
  9. 82.1Gemini 3.1 Pro
  10. 77.3GPT-5.6 Terra
  11. 74.0*Grok 4.7
  12. 73.5*ERNIE 5.1
  13. 73.3Kimi K3
  14. 71.9*GLM 5.3
  15. 67.5*Qwen3.8 Flash
  16. 64.3*Grok 4.20 Multi Agent
  17. 63.3*Qwen3.7 Plus
  18. 63.1*Claude Sonnet 5
  19. 57.9*DeepSeek V4 Pro
  20. 56.2*GLM 5.3 Flash
  21. 54.6*Mistral Large 4
  22. 54.3*Gemma 4 31B
  23. 52.2Qwen3.8 27B
  24. 50.5*Qwen3.5 397B A17B
  25. 50.1*Hy3
  26. 47.4*Gemma 4 26B A4B
  27. 47.4Inkling
  28. 43.0*Mistral Large 3
  29. 42.3GPT-6 Luna
  30. 37.8*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  31. 35.2*Inkling Small
  32. 33.9*MiniMax M3
  33. 27.0*Kimi K2.7 Code
  34. 25.1*Grok Build 0.1
  35. 20.8GPT-5.4 Mini
  36. 17.8Gemini 3.5 Flash Lite
  37. 17.2*Qwen3.5 35B A3B
  38. 15.7GPT-5.4 Nano
  39. 12.8*Muse Glimmer 30B
  40. 11.7*Solar Pro 4
  41. 9.3*Claude Haiku 4.5
  42. 0.4*DeepSeek R1
  43. 0.0*Olmo 3 32B Think
  44. 0.0*Nova 2 Lite
  45. 0.0*Command A
  46. 0.0*Granite 4.2 30B
  47. 0.0*Granite 4.2 3B
  48. 0.0*Granite 4.2 8B
  49. 0.0*Llama 4 Maverick 17B 128E Instruct
  50. 0.0*Llama 4 Scout 17B 16E Instruct
  51. 0.0*phi-4
  52. 0.0*NVIDIA Nemotron 3 Nano 30B A3B BF16
  53. 0.0*NVIDIA Nemotron 3.5 Lightning 30B A3B
  54. 0.0*GPT-4o
  55. 0.0*GPT-4o Mini
  56. 0.0*gpt-oss-120b
  57. 0.0*gpt-oss-20b
* Provisional: fewer than 3 sources
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Cost

Not ranked in current cohort

Cost not rankedPublished LiveBench output tokens and a current USD output rate are both required.
View full ranking →

Efficiency

Not ranked in current cohort

Efficiency not rankedBoth an eligible intelligence score and a comparable cost estimate are required.
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks DeepSeek R1. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$0.70$2.50——Aug 28, 2026Provider-reported

Benchmarks

All benchmark results →
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e1,372.65rating—18,524deepseek-r1; 95% CI [1367.80631687, 1377.49940563]; votes 18524; rank 181unknownOriginal sourcewinner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
deepseek-ai/DeepSeek-R1
Released
Jan 20, 2025
Version
DeepSeek-R1
License
mit

Capacity

Token context
164K tokens
Maximum output
33K tokens
Total parameters
684.5B
Active parameters
37B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
Yes
Vision
No
Tool calling
No
Capabilities
chat, generation, reasoning

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
Aliasesdeepseek-ai/DeepSeek-R1, deepseek-ai/DeepSeek-R1

Explicit Unknowns

  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

deepseek-ai/DeepSeek-R1 developer model repositoryDeepSeek · observed Aug 28, 2026deepseek-ai/DeepSeek-R1 README.md at 56d4cbbb4d29DeepSeek · observed Aug 28, 2026OpenRouter deepseek/deepseek-r1 model APIOpenRouter · observed Aug 28, 2026deepseek-ai/DeepSeek-R1 Hugging Face inference-provider mappingHugging Face · observed Aug 28, 2026deepseek-ai/DeepSeek-R1 config.json at 56d4cbbb4d29DeepSeek · observed Aug 28, 2026deepseek-ai/DeepSeek-R1 immutable Hub API metadataDeepSeek · observed Aug 28, 2026DeepSeek-R1 ReleaseDeepSeek · observed Aug 28, 2026deepseek-ai/DeepSeek-R1 tokenizer_config.json at 56d4cbbb4d29DeepSeek · observed Aug 28, 2026Hugging Face catalogHugging Face · observed Sep 2, 2026

Comparable Peers

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Questions

DeepSeek R1 FAQs

What is DeepSeek R1?+

DeepSeek-R1 is an open-weight language model published by DeepSeek. It is developed by DeepSeek and its current sourced lifecycle status is active.

What inputs and outputs does DeepSeek R1 support?+

DeepSeek R1's current record lists Text as input and Text as output.

How much context does DeepSeek R1 support?+

The current record lists a 164K-token context window and a maximum output of 33K tokens.

Is DeepSeek R1 available through an API?+

DeepSeek R1 is marked as API-available. The directly sourced provider records currently include Hugging Face and Openrouter.

How large is DeepSeek R1?+

The current record lists 684.5B total parameters and 37B active parameters. Its architecture is DeepseekV3ForCausalLM.

What capabilities and tasks does DeepSeek R1 support?+

DeepSeek R1's recorded capabilities are chat, generation, and reasoning. Its supported tasks are text.

How much does DeepSeek R1 cost through an API?+

The lowest directly sourced prices currently attached to DeepSeek R1 are $0.70 per million input tokens through Openrouter and $2.50 per million output tokens through Openrouter. Prices are provider-specific and should be checked against each cited observation date.

Can DeepSeek R1 be self-hosted?+

DeepSeek R1 is an open-weight model. Self-hosting is supported, and the recorded license is mit.

Does DeepSeek R1 have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are deepseek-ai/DeepSeek-R1.

Which models can DeepSeek R1 be compared with?+

The current compatible peer set includes NVIDIA Nemotron 3 Ultra 550B A55B BF16, Phi-4 Reasoning, DeepSeek V4 Pro Base, Olmo 3 32B Think, and Olmo 3 7B Think. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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