Kimi K2.7 Code
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
BenchLM is tracking Kimi K2.7 Code, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
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 6 of 247 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Ranking Distribution
Category rank across 0 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
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Frequently Asked Questions
How does Kimi K2.7 Code perform overall in AI benchmarks?
Kimi K2.7 Code has 6 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 coding and programming?
Kimi K2.7 Code has visible benchmark coverage in coding and programming, 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 has visible benchmark coverage in agentic tool use and computer tasks, 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 6 published benchmark scores out of the 247 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 context window of 256K, which determines how much text it can process in a single interaction.
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