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Model comparison

Kimi K2.5 vs Kimi K2.7 Code

Data verified

Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Kimi K2.5
Moonshot AI
58.78/100
Margin
4.8pts
← winning
Kimi K2.7 Code
Moonshot AI
54.03/100
0 category wins0 category wins

Public leaderboard positions: Kimi K2.5 #60 (Supported); Kimi K2.7 Code #92 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2.5 and Kimi K2.7 Code share 17 comparable benchmark results. 0 of 8 categories are comparable. 46 results are unique to Kimi K2.5; 6 to Kimi K2.7 Code.

Updated July 27, 2026
Shared results
17
Kimi K2.5 only
46
Kimi K2.7 Code only
6
Comparable categories
0 / 8

Benchmark data for Kimi K2.5 and Kimi K2.7 Code is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Kimi K2.7 Code is priced at $0.95 input / $4.00 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Kimi K2.5 and Kimi K2.7 Code
CategoryKimi K2.5ΔKimi K2.7 Code
AgenticKimi K2.555.0MarginNo overlapKimi K2.7 CodeNot measured
CodingKimi K2.559.4MarginNo overlapKimi K2.7 CodeNot measured
ReasoningKimi K2.561.0MarginNo overlapKimi K2.7 CodeNot measured
KnowledgeKimi K2.556.9MarginNo overlapKimi K2.7 CodeNot measured
MathKimi K2.560.6MarginNo overlapKimi K2.7 CodeNot measured
MultilingualKimi K2.582.3MarginNo overlapKimi K2.7 CodeNot measured
MultimodalKimi K2.578.5MarginNo overlapKimi K2.7 CodeNot measured
Inst. FollowingKimi K2.593.9MarginNo overlapKimi K2.7 CodeNot measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricKimi K2.5Kimi K2.7 CodeComparison
Input / output priceUSD per 1M tokensKimi K2.5$0.6 input / $3 outputKimi K2.7 Code$0.95 input / $4 outputKimi K2.5 has the lower combined listed price.
Generation speedtokens per secondKimi K2.545 tok/sKimi K2.7 CodeNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K2.52.38 sKimi K2.7 CodeNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2.5256KKimi K2.7 Code256KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2.5Kimi K2.7 CodeResult
Terminal-Bench 2.0Source 50.8%—Not comparable
BrowseCompSource 60.6%—Not comparable
Claw-EvalSource 52.3%—Not comparable
QwenClawBenchSource 54.3%—Not comparable
τ³-bench resultsSource 65.7%—Not comparable
DeepSearchQASource 77.1%—Not comparable
DeepPlanningSource 14.4%—Not comparable
ToolathlonSource 27.8%—Not comparable
MCP AtlasSource 29.5%76%Kimi K2.7 Code leads
MCP-TasksSource 59.1%—Not comparable
WideResearchSource 72.7%—Not comparable
τ²-bench resultsSource 95.9%90.1%Kimi K2.5 leads
APEX-Agents-AASource 11.5%—Not comparable
Gert LabsSource 45.88%—Not comparable
ResearchClawBenchSource 14.0%—Not comparable
JobBenchSource 8.7%—Not comparable
AA Agentic IndexSource 21.7%29.6%Kimi K2.7 Code leads
GDPval-AASource 25.1%34.3%Kimi K2.7 Code leads
GDPval-AASource 10031186Kimi K2.7 Code leads
Kimi Claw 24/7Source —46.9%Not comparable
MCP Mark VerifiedSource —81.1%Not comparable
Coding
BenchmarkKimi K2.5Kimi K2.7 CodeResult
SWE-bench VerifiedSource 76.8%—Not comparable
SWE-bench Verified*Source 70.8%—Not comparable
LiveCodeBench v6Source 85.0%—Not comparable
SWE-bench ProSource 50.7%—Not comparable
SWE MultilingualSource 73%—Not comparable
SWE-RebenchSource 58.5%—Not comparable
React Native EvalsSource 77.2%—Not comparable
SciCodeSource 48.7%—Not comparable
AA-SciCodeSource 49.0%47.5%Kimi K2.5 leads
AA Coding IndexSource 46.8%60.8%Kimi K2.7 Code leads
Kimi Code Bench v2Source —62.0%Not comparable
ProgramBenchSource —53.6%Not comparable
MLS-Bench LiteSource —35.1%Not comparable
cursorBench32Source —49.7%Not comparable
Reasoning
BenchmarkKimi K2.5Kimi K2.7 CodeResult
LongBench v2Source 61%—Not comparable
AA-LCRSource 65.3%66.3%Kimi K2.7 Code leads
CritPtSource 3.1%10.0%Kimi K2.7 Code leads
Knowledge
BenchmarkKimi K2.5Kimi K2.7 CodeResult
GPQASource 87.6%—Not comparable
GPQA-DSource 87.6%—Not comparable
SuperGPQASource 69.2%—Not comparable
MMLU-ProSource 87.1%—Not comparable
MMLU-Pro (Arcee)Source 87.1%—Not comparable
HLESource 30.1%—Not comparable
Artificial Analysis Intelligence IndexSource 35.4%42.0%Kimi K2.7 Code leads
AA-GPQA DiamondSource 87.9%89.6%Kimi K2.7 Code leads
AA-HLESource 29.4%32.8%Kimi K2.7 Code leads
AA-Omniscience IndexSource -8.1%-10.7%Kimi K2.5 leads
AA-Omniscience AccuracySource 34.3%38.6%Kimi K2.7 Code leads
AA-Omniscience Hallucination RateSource 64.6%80.3%Kimi K2.5 leads
Math
BenchmarkKimi K2.5Kimi K2.7 CodeResult
AIME 2025Source 96.1%—Not comparable
AIME26Source 95.8%—Not comparable
AIME25 (Arcee)Source 96.3%—Not comparable
HMMT Feb 2025Source 95.4%—Not comparable
HMMT Nov 2025Source 91.1%—Not comparable
HMMT Feb 2026Source 87.1%—Not comparable
MMAnswerBenchSource 81.8%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 27.900%—Not comparable
FrontierMath v2 (Tier 4)Source 4.200%—Not comparable
Multilingual
BenchmarkKimi K2.5Kimi K2.7 CodeResult
MMLU-ProXSource 82.3%—Not comparable
NOVA-63Source 56.0%—Not comparable
Multimodal
BenchmarkKimi K2.5Kimi K2.7 CodeResult
MMMU-ProSource 78.5%—Not comparable
Video-MMESource 87.4%—Not comparable
MMVUSource 80.4%—Not comparable
VideoMMMUSource 86.6%—Not comparable
AA-MMMU-ProSource 75.4%—Not comparable
Design Arena WebsiteSource 12751300Kimi K2.7 Code leads
Inst. Following
BenchmarkKimi K2.5Kimi K2.7 CodeResult
IFEvalSource 93.9%—Not comparable
AA-IFBenchSource 70.2%63.1%Kimi K2.5 leads
Frequently Asked Questions (3)

Can I compare Kimi K2.5 and Kimi K2.7 Code on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Kimi K2.5 and Kimi K2.7 Code today?

Kimi K2.5: $0.60 input / $3.00 output per 1M tokens Kimi K2.7 Code: $0.95 input / $4.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Kimi K2.5
API / mo$2,700
Self-host / mo$5,221
Break-even132M/day
Kimi K2.7 Code
API / mo$3,713
Self-host / mo$18,221
Break-even326M/day
Model the full break-even

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Last updated: July 27, 2026

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