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Moonshot AIKimi K2.7 Code

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Kimi K2.7 Code is Moonshot AI's open-weight multimodal coding-agent model with 1T total parameters, 32B active parameters, and a 256K-token context window.

Token context
262K tokens
Inputs
Text, Image, Video
Outputs
Text
Released
Jun 11, 2026

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #33 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 #8 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 #23 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 K2.7 Code. 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
$0.68$3.40$0.136—Sep 22, 2026Provider-reported
$0.6712$3.35$0.18—Oct 19, 2026Provider-reported

Benchmarks

All benchmark results →
LiveBench2026-06-25-90f8d44da96571.45percent13,0071,270kimi-k2.7-codeaverage per caseRecomputedwinner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
moonshotai/Kimi-K2.7-Code
Released
Jun 11, 2026
Version
Kimi K2.7 Code
License
modified-mit

Capacity

Token context
262K tokens
Maximum output
Unknown
Total parameters
1T
Active parameters
32B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image, Video
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
Yes
Vision
Yes
Tool calling
Yes
Capabilities
agents, chat, coding, reasoning, tools, vision

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
Aliaseskimi-k2.7-code, Kimi K2.7 Code, moonshotai/Kimi-K2.7-Code

Explicit Unknowns

  • Maximum output
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

moonshotai/Kimi-K2.7-Code developer model repositoryMoonshot AI · observed Sep 3, 2026moonshotai/Kimi-K2.7-Code README.md at 74797c9c6237Moonshot AI · observed Sep 3, 2026moonshotai/Kimi-K2.7-Code config.json at 74797c9c6237Moonshot AI · observed Sep 3, 2026moonshotai/Kimi-K2.7-Code immutable Hub API metadataMoonshot AI · observed Sep 3, 2026moonshotai/Kimi-K2.7-Code tokenizer_config.json at 74797c9c6237Moonshot AI · observed Sep 3, 2026Deepinfra catalogDeepinfra · observed Oct 19, 2026Fireworks Ai catalogFireworks Ai · observed Oct 19, 2026Openrouter catalogOpenrouter · observed Oct 19, 2026Together Ai catalogTogether Ai · observed Oct 19, 2026

Comparable Peers

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Questions

Kimi K2.7 Code FAQs

What is Kimi K2.7 Code?+

Kimi K2.7 Code is Moonshot AI's open-weight multimodal coding-agent model with 1T total parameters, 32B active parameters, and a 256K-token context window. It is developed by Moonshot AI and its current sourced lifecycle status is active.

What inputs and outputs does Kimi K2.7 Code support?+

Kimi K2.7 Code's current record lists Text, Image, and Video as input and Text as output.

How much context does Kimi K2.7 Code support?+

The current record lists a 262K-token context window and does not report a maximum output length.

Is Kimi K2.7 Code available through an API?+

Kimi K2.7 Code is marked as API-available. The directly sourced provider records currently include Deepinfra, Fireworks Ai, Openrouter, and Together Ai.

How large is Kimi K2.7 Code?+

The current record lists 1T total parameters and 32B active parameters. Its architecture is KimiK25ForConditionalGeneration.

What capabilities and tasks does Kimi K2.7 Code support?+

Kimi K2.7 Code's recorded capabilities are agents, chat, coding, reasoning, tools, and vision. Its supported tasks are coding, image, reasoning, text, and video.

How much does Kimi K2.7 Code cost through an API?+

The lowest directly sourced prices currently attached to Kimi K2.7 Code are $0.6712 per million input tokens through Openrouter and $3.35 per million output tokens through Openrouter. Prices are provider-specific and should be checked against each cited observation date.

Can Kimi K2.7 Code be self-hosted?+

Kimi K2.7 Code is an open-weight model. Self-hosting is supported, and the recorded license is modified-mit.

Does Kimi K2.7 Code have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are kimi-k2.7-code, Kimi K2.7 Code, and moonshotai/Kimi-K2.7-Code.

Which models can Kimi K2.7 Code be compared with?+

The current compatible peer set includes Qwen3.8 Max, Kimi K3, DeepSeek V4 Pro 0813, Muse Spark 1.3, and Kimi K2 Thinking. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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