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Moonshot AIKimi K3

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Kimi-K3 is an open-weight vision-language model published by Moonshot AI.

Token context
1,049K tokens
Inputs
Text, Image
Outputs
Text
Released
Jul 16, 2026

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #13 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
View full ranking →

Cost

Rank #19 of 27

  1. $0.0020Grok Build 0.1
  2. $0.0087GLM 5.3 Flash
  3. $0.017MiniMax M3
  4. $0.018GPT-6 Luna
  5. $0.021Qwen3.8 Flash
  6. $0.022DeepSeek V4.1 Flash
  7. $0.029Gemini 3.5 Flash Lite
  8. $0.044Kimi K2.7 Code
  9. $0.054Mistral Large 4
  10. $0.054DeepSeek V4 Pro
  11. $0.058GPT-5.4 Nano
  12. $0.063Qwen3.8 27B
  13. $0.090Inkling
  14. $0.092NVIDIA Nemotron 3 Ultra 550B A55B BF16
  15. $0.104GPT-6.1 Sol
  16. $0.107Qwen3.8 Max
  17. $0.160Gemini 3.8 Flash
  18. $0.161Gemini 3.1 Pro
  19. $0.163Kimi K3
  20. $0.194Claude Sonnet 5
  21. $0.214GPT-5.4 Mini
  22. $0.248GLM 5.3
  23. $0.266GPT-5.6 Terra
  24. $0.341Grok 4.7
  25. $0.512Claude Opus 5.5
  26. $0.520GPT-6 Astra
  27. $0.824Claude Fable 5.1
View full ranking →

Efficiency

Rank #12 of 27

  1. 71.7*DeepSeek V4.1 Flash
  2. 65.8*GLM 5.3 Flash
  3. 64.2*Qwen3.8 Flash
  4. 62.5*Grok Build 0.1
  5. 60.1GPT-6.1 Sol
  6. 58.6*Qwen3.8 Max
  7. 58.5Gemini 3.8 Flash
  8. 54.6Gemini 3.1 Pro
  9. 53.9*Claude Opus 5.5
  10. 52.8GPT-6 Luna
  11. 51.5*DeepSeek V4 Pro
  12. 50.1Kimi K3
  13. 49.9*Mistral Large 4
  14. 49.5Claude Fable 5.1
  15. 49.0*MiniMax M3
  16. 48.0GPT-5.6 Terra
  17. 47.3Qwen3.8 27B
  18. 46.1GPT-6 Astra
  19. 45.9*GLM 5.3
  20. 44.3*Grok 4.7
  21. 43.5*Claude Sonnet 5
  22. 42.0Inkling
  23. 37.8*Kimi K2.7 Code
  24. 37.1*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  25. 36.6Gemini 3.5 Flash Lite
  26. 29.9GPT-5.4 Nano
  27. 21.6GPT-5.4 Mini
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks Kimi K3. 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
$2.85$14.25$0.285—Oct 19, 2026Provider-reported
$0.239$11.936$0.21—Oct 19, 2026Provider-reported

Benchmarks

All benchmark results →
ARC-AGI-1verified-v1-613c385b0c9394.50percent——Kimi K3 (Max)unknownOriginal sourcewinner eligibleThird-party benchmark
ARC-AGI-2verified-v2-be40992860f960.42percent——Kimi K3 (Max)unknownOriginal sourcewinner eligibleThird-party benchmark
LiveBench2026-06-25-90f8d44da96581.02percent13,6471,270kimi-k3average per caseRecomputedwinner eligibleThird-party benchmark
LMArena Agent Arenaagent-2026-10-16-a64ca3b12b6e1.93score—135,415Kimi K3 (Max); 95% CI [1.20183745, 2.66737332]; sessions 135415; observations 12343129; rank 23unknownOriginal sourcewinner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb282.23points21,43850Kimi K3 (max)average per caseOriginal sourcenot winner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb280.35points5,85150Kimi K3 (high)average per caseOriginal sourcenot winner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
moonshotai/Kimi-K3
Released
Jul 16, 2026
Version
Kimi-K3
License
other

Capacity

Token context
1,049K tokens
Maximum output
Unknown
Total parameters
2.78T
Active parameters
104B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
Yes
Vision
Yes
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
Aliasesmoonshotai/Kimi-K3, moonshotai/Kimi-K3

Explicit Unknowns

  • Maximum output
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

moonshotai/Kimi-K3 developer model repositoryMoonshot AI · observed Aug 28, 2026moonshotai/Kimi-K3 README.md at a590ce090cb0Moonshot AI · observed Aug 28, 2026Deepinfra catalogDeepinfra · observed Oct 19, 2026OpenRouter moonshotai/kimi-k3 model APIOpenRouter · observed Aug 28, 2026moonshotai/Kimi-K3 Hugging Face inference-provider mappingHugging Face · observed Aug 28, 2026moonshotai/Kimi-K3 config.json at a590ce090cb0Moonshot AI · observed Aug 28, 2026moonshotai/Kimi-K3 immutable Hub API metadataMoonshot AI · observed Aug 28, 2026Kimi Research Blog release indexMoonshot AI · observed Aug 28, 2026moonshotai/Kimi-K3 tokenizer_config.json at a590ce090cb0Moonshot AI · observed Aug 28, 2026Fireworks Ai catalogFireworks Ai · observed Oct 19, 2026Hugging Face catalogHugging Face · observed Sep 2, 2026Openrouter catalogOpenrouter · observed Oct 19, 2026Together Ai catalogTogether Ai · observed Oct 19, 2026

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Questions

Kimi K3 FAQs

What is Kimi K3?+

Kimi-K3 is an open-weight vision-language model published by Moonshot AI. It is developed by Moonshot AI and its current sourced lifecycle status is active.

What inputs and outputs does Kimi K3 support?+

Kimi K3's current record lists Text and Image as input and Text as output.

How much context does Kimi K3 support?+

The current record lists a 1,049K-token context window and does not report a maximum output length.

Is Kimi K3 available through an API?+

Kimi K3 is marked as API-available. The directly sourced provider records currently include Deepinfra, Fireworks Ai, Hugging Face, Openrouter, and Together Ai.

How large is Kimi K3?+

The current record lists 2.78T total parameters and 104B active parameters. Its architecture is KimiK3ForConditionalGeneration.

What capabilities and tasks does Kimi K3 support?+

Kimi K3's recorded capabilities are chat, generation, and reasoning. Its supported tasks are embedding, image, and text.

How much does Kimi K3 cost through an API?+

The lowest directly sourced prices currently attached to Kimi K3 are $0.239 per million input tokens through Openrouter and $11.936 per million output tokens through Openrouter. Prices are provider-specific and should be checked against each cited observation date.

Can Kimi K3 be self-hosted?+

Kimi K3 is an open-weight model. Self-hosting is supported, and the recorded license is other.

Does Kimi K3 have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are moonshotai/Kimi-K3.

Which models can Kimi K3 be compared with?+

The current compatible peer set includes Kimi K2.6, Claude Fable 5.1, Hy4 preview, Claude Mythos 5.1, and Claude Opus 5.5. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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