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Model comparison

Kimi K2.7 Code vs MiMo-V2.5-Pro

Data verified

Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Moonshot AI
54.03/100
Margin
15.2pts
winning →
69.23/100
0 category wins0 category wins

Public leaderboard positions: Kimi K2.7 Code #92 (Estimated); MiMo-V2.5-Pro #17 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2.7 Code and MiMo-V2.5-Pro share 16 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to Kimi K2.7 Code; 15 to MiMo-V2.5-Pro.

Updated July 27, 2026
Shared results
16
Kimi K2.7 Code only
7
MiMo-V2.5-Pro only
15
Comparable categories
0 / 8

Benchmark data for Kimi K2.7 Code and MiMo-V2.5-Pro is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 16 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.

MiMo-V2.5-Pro has the larger context window at 1M, compared with 256K for Kimi K2.7 Code.

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 K2.7 Code and MiMo-V2.5-Pro
CategoryKimi K2.7 CodeΔMiMo-V2.5-Pro
AgenticKimi K2.7 CodeNot measuredMarginNo overlapMiMo-V2.5-Pro68.4
CodingKimi K2.7 CodeNot measuredMarginNo overlapMiMo-V2.5-Pro57.2
KnowledgeKimi K2.7 CodeNot measuredMarginNo overlapMiMo-V2.5-Pro48.0

Operational comparison

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

MetricKimi K2.7 CodeMiMo-V2.5-ProComparison
Input / output priceUSD per 1M tokensKimi K2.7 Code$0.95 input / $4 outputMiMo-V2.5-ProNot availableA complete price comparison is not available.
Generation speedtokens per secondKimi K2.7 CodeNot availableMiMo-V2.5-ProNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K2.7 CodeNot availableMiMo-V2.5-ProNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2.7 Code256KMiMo-V2.5-Pro1MMiMo-V2.5-Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2.7 CodeMiMo-V2.5-ProResult
Kimi Claw 24/7Source 46.9%Not comparable
MCP AtlasSource 76%Not comparable
MCP Mark VerifiedSource 81.1%Not comparable
AA Agentic IndexSource 29.6%29.1%Kimi K2.7 Code leads
τ²-bench resultsSource 90.1%94.2%MiMo-V2.5-Pro leads
GDPval-AASource 34.3%38.3%MiMo-V2.5-Pro leads
GDPval-AASource 11861265MiMo-V2.5-Pro leads
Claw-EvalSource 63.8%Not comparable
τ³-bench resultsSource 72.9%Not comparable
Terminal-Bench 2.0Source 68.4%Not comparable
APEX-Agents-AASource 2.4%Not comparable
Gert LabsSource 62.70%Not comparable
AA BriefcaseSource 878Not comparable
AA ITBenchSource 38.2%Not comparable
terminalBenchHardSource 43.2%Not comparable
aaTerminalBench21Source 65.2%Not comparable
AA Harvey LABSource 73.3%Not comparable
Coding
BenchmarkKimi K2.7 CodeMiMo-V2.5-ProResult
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
AA Coding IndexSource 60.8%60.2%Kimi K2.7 Code leads
AA-SciCodeSource 47.5%50.2%MiMo-V2.5-Pro leads
SWE-bench ProSource 57.2%Not comparable
Terminal-Bench 2.0Source 68.4%Not comparable
Reasoning
BenchmarkKimi K2.7 CodeMiMo-V2.5-ProResult
AA-LCRSource 66.3%73.3%MiMo-V2.5-Pro leads
CritPtSource 10.0%4.0%Kimi K2.7 Code leads
Knowledge
BenchmarkKimi K2.7 CodeMiMo-V2.5-ProResult
Artificial Analysis Intelligence IndexSource 42.0%42.2%MiMo-V2.5-Pro leads
AA-GPQA DiamondSource 89.6%86.6%Kimi K2.7 Code leads
AA-HLESource 32.8%33.8%MiMo-V2.5-Pro leads
AA-Omniscience IndexSource -10.7%3.6%MiMo-V2.5-Pro leads
AA-Omniscience AccuracySource 38.6%22.6%Kimi K2.7 Code leads
AA-Omniscience Hallucination RateSource 80.3%24.5%MiMo-V2.5-Pro leads
HLESource 48%Not comparable
HLE w/o toolsSource 34%Not comparable
AA Openness IndexSource 38.9%Not comparable
Multimodal
BenchmarkKimi K2.7 CodeMiMo-V2.5-ProResult
Design Arena WebsiteSource 13001309MiMo-V2.5-Pro leads
Inst. Following
BenchmarkKimi K2.7 CodeMiMo-V2.5-ProResult
AA-IFBenchSource 63.1%79.9%MiMo-V2.5-Pro leads
Frequently Asked Questions (3)

Can I compare Kimi K2.7 Code and MiMo-V2.5-Pro 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 K2.7 Code and MiMo-V2.5-Pro today?

Kimi K2.7 Code: $0.95 input / $4.00 output per 1M tokens MiMo-V2.5-Pro: Pricing unavailable 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 K2.7 Code
API / mo$3,713
Self-host / mo$18,221
Break-even326M/day
MiMo-V2.5-Pro
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

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Last updated: July 27, 2026

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