Kimi K2.5 (Reasoning)
According to BenchLM.ai, Kimi K2.5 (Reasoning) ranks #20 out of 110 models on the provisional leaderboard with an overall score of 79/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. This places it in the mid-tier of AI models, with strengths in specific benchmark categories.
Kimi K2.5 (Reasoning) is a proprietary model with a 128K 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.
Kimi K2.5 (Reasoning) sits inside the Kimi K2.5 family alongside Kimi K2.5. This profile currently has 7 of 152 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 Instruction Following (#1), while its weakest is Mathematics (#38). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 8 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#22Coding
#8Reasoning
#25Knowledge
#28Math
#38Multilingual
#9Multimodal
#30Inst. Following
#1Chatbot Arena Performance
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.
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See how Kimi K2.5 (Reasoning) stacks up against similar models
Frequently Asked Questions
How does Kimi K2.5 (Reasoning) perform overall in AI benchmarks?
Kimi K2.5 (Reasoning) currently ranks #20 out of 110 models on BenchLM's provisional leaderboard with an overall score of 79 (estimated). It is created by Moonshot AI and features a 128K context window.
Is Kimi K2.5 (Reasoning) good for knowledge and understanding?
Kimi K2.5 (Reasoning) ranks #28 out of 110 models in knowledge and understanding benchmarks with an average score of 75. There are stronger options in this category.
Is Kimi K2.5 (Reasoning) good for coding and programming?
Kimi K2.5 (Reasoning) ranks #8 out of 110 models in coding and programming benchmarks with an average score of 88. It is among the top performers in this category.
Is Kimi K2.5 (Reasoning) good for mathematics?
Kimi K2.5 (Reasoning) ranks #38 out of 110 models in mathematics benchmarks with an average score of 67.7. There are stronger options in this category.
Is Kimi K2.5 (Reasoning) good for agentic tool use and computer tasks?
Kimi K2.5 (Reasoning) ranks #22 out of 110 models in agentic tool use and computer tasks benchmarks with an average score of 67.9. There are stronger options in this category.
Is Kimi K2.5 (Reasoning) good for multimodal and grounded tasks?
Kimi K2.5 (Reasoning) ranks #30 out of 110 models in multimodal and grounded tasks benchmarks with an average score of 71.1. There are stronger options in this category.
Which sibling models are related to Kimi K2.5 (Reasoning)?
Kimi K2.5 (Reasoning) belongs to the Kimi K2.5 family. Related variants on BenchLM include Kimi K2.5.
Does Kimi K2.5 (Reasoning) have full benchmark coverage on BenchLM?
Not yet. Kimi K2.5 (Reasoning) currently has 7 published benchmark scores out of the 152 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 K2.5 (Reasoning)?
Kimi K2.5 (Reasoning) has a context window of 128K, which determines how much text it can process in a single interaction.
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