Model profile
Kimi K2.7 Code
Evidence coverage
23 of 323 tracked benchmarks are published. 7 are verified and 16 provisional. 6 of 8 categories are measured.
- Published / tracked
- 23 / 323
- Verified
- 7
- Provisional
- 16
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic7 benchmarksMixed evidence
- Coding6 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal1 benchmarkReported
- Inst. Following1 benchmarkReported
Kimi K2.7 Code ranks #87 out of 200 models on the public leaderboard with an overall score of 55/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Kimi K2.7 Code is a open weight model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
BenchLM links it directly to Kimi K2.6 as the earlier related model in that lineage. This profile currently has 23 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Coding (#38), while its weakest is Agentic (#99). This performance profile makes it particularly well-suited for software development and code generation tasks.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 54.68–55.4
- DeepSeek V3.2DeepSeekCompare#8255.4DeepSeek V3.2 is #82 with a score of 55.4.
- Gemini 3.1 ProGoogleCompare#8355.3Gemini 3.1 Pro is #83 with a score of 55.3.
- GPT-5 (medium)OpenAICompare#8455.15GPT-5 (medium) is #84 with a score of 55.15.
- GLM-4.6Z.AICompare#8555.12GLM-4.6 is #85 with a score of 55.12.
- Step 3.5 FlashStepFunCompare#8655.1Step 3.5 Flash is #86 with a score of 55.1.
- Kimi K2.7 CodeCurrent modelMoonshot AI#8755.0Kimi K2.7 Code is #87 with a score of 55.0.
- Grok 4.20xAICompare#8854.68Grok 4.20 is #88 with a score of 54.68.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Coding69%Eligible cohort rank #38 of 122Category score 54.2
- Agentic17%Eligible cohort rank #99 of 119Category score 38.0
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #99 of 119Percentile 17thWeight 22%7 benchmarksMixed sources | 38.0 | #99 of 119 | 17th | 22% | 7 benchmarks | Mixed sources |
| CodingRank #38 of 122Percentile 69thWeight 20%6 benchmarksMixed sources | 54.2 | #38 of 122 | 69th | 20% | 6 benchmarks | Mixed sources |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeWeight 12%6 benchmarksReported | Score pending | Not ranked | Not available | 12% | 6 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%1 benchmarkReported | Score pending | Not ranked | Not available | 12% | 1 benchmark | Reported |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic7 benchmarks
Kimi Claw 24/7 Bench
MCPMark-Verified
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Coding6 benchmarks
ProgramBench: Can Language Models Rebuild Programs From Scratch?
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Multimodal1 benchmark
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Kimi K2.7 Code perform overall in AI benchmarks?
Kimi K2.7 Code has 23 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Kimi K2.7 Code good for knowledge and understanding?
Kimi K2.7 Code has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Kimi K2.7 Code good for coding and programming?
Kimi K2.7 Code ranks #38 out of 122 models in coding and programming benchmarks with an average score of 54.2. There are stronger options in this category.
Is Kimi K2.7 Code good for reasoning and logic?
Kimi K2.7 Code has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Kimi K2.7 Code good for agentic tool use and computer tasks?
Kimi K2.7 Code ranks #99 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 38. There are stronger options in this category.
Is Kimi K2.7 Code good for multimodal and grounded tasks?
Kimi K2.7 Code has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is Kimi K2.7 Code good for instruction following?
Kimi K2.7 Code has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Is Kimi K2.7 Code open source?
Yes, Kimi K2.7 Code is an open weight model created by Moonshot AI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Kimi K2.7 Code have full benchmark coverage on BenchLM?
Not yet. Kimi K2.7 Code currently has 23 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Kimi K2.7 Code?
Kimi K2.7 Code has a published context window of 256K, which determines how much text it can process in a single interaction.
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