Model comparison
Kimi K2.5 vs MiMo-V2.5
Head-to-head evidence from 7 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2.5 #54 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.5 and MiMo-V2.5 share 7 comparable benchmark results. 3 of 8 categories are comparable. 56 results are unique to Kimi K2.5; 4 to MiMo-V2.5.
Updated July 21, 2026- Shared results
- 7
- Kimi K2.5 only
- 56
- MiMo-V2.5 only
- 4
- Comparable categories
- 3 / 8
Pick Kimi K2.5 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 7 shared benchmark results across 3 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Kimi K2.5 has the cleaner BenchAlign overall profile here, landing at 59.66 versus 58.62. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Kimi K2.5's sharpest advantage is in coding, where it averages 59.4 against 56.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 65.8%. MiMo-V2.5 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5 is the reasoning model in the pair, while Kimi K2.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2.5 gives you the larger context window at 1M, compared with 256K 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 | Kimi K2.5 | Δ | MiMo-V2.5 |
|---|---|---|---|
| Agentic | Kimi K2.555.0 | Margin→ 10.8 | MiMo-V2.565.8 |
| Coding | Kimi K2.559.4 | Margin← 3.3 | MiMo-V2.556.1 |
| Multimodal | Kimi K2.578.5 | Margin→ 0.5 | MiMo-V2.579.0 |
| Reasoning | Kimi K2.561.0 | MarginNo overlap | MiMo-V2.5Not measured |
| Knowledge | Kimi K2.556.9 | MarginNo overlap | MiMo-V2.5Not measured |
| Math | Kimi K2.560.6 | MarginNo overlap | MiMo-V2.5Not measured |
| Multilingual | Kimi K2.582.3 | MarginNo overlap | MiMo-V2.5Not measured |
| Inst. Following | Kimi K2.593.9 | MarginNo overlap | MiMo-V2.5Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 50.8%B 65.8%Winner: MiMo-V2.5Δ 15Terminal-Bench 2.0: Kimi K2.5 scored 50.8%; MiMo-V2.5 scored 65.8%. MiMo-V2.5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 50.7%B 56.1%Winner: MiMo-V2.5Δ 5.4SWE-bench Pro: Kimi K2.5 scored 50.7%; MiMo-V2.5 scored 56.1%. MiMo-V2.5 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 78.5%B 77.9%Winner: Kimi K2.5Δ 0.6MMMU-Pro: Kimi K2.5 scored 78.5%; MiMo-V2.5 scored 77.9%. Kimi K2.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.5 | MiMo-V2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.5$0.6 input / $3 output | MiMo-V2.5Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Kimi K2.545 tok/s | MiMo-V2.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.52.38 s | MiMo-V2.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.5256K | MiMo-V2.51M | MiMo-V2.5 lists the larger context window. |
Benchmark Deep Dive
AgenticMiMo-V2.5 wins20 benchmarks
| Benchmark | Kimi K2.5 | MiMo-V2.5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 50.8% | 65.8% | MiMo-V2.5 leads |
| BrowseCompSource | 60.6% | — | Not comparable |
| Claw-EvalSource | 52.3% | 62.3% | MiMo-V2.5 leads |
| 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% | — | Not comparable |
| MCP-TasksSource | 59.1% | — | Not comparable |
| WideResearchSource | 72.7% | — | Not comparable |
| τ²-bench resultsSource | 95.9% | — | Not comparable |
| APEX-Agents-AASource | 11.5% | — | Not comparable |
| Gert LabsSource | 45.88% | 46.89% | MiMo-V2.5 leads |
| ResearchClawBenchSource | 14.0% | 16.9% | MiMo-V2.5 leads |
| JobBenchSource | 8.7% | — | Not comparable |
| AA Agentic IndexSource | 21.7% | — | Not comparable |
| GDPval-AASource | 25.4% | — | Not comparable |
| GDPval-AASource | 1009 | — | Not comparable |
| MM-ClawBenchSource | — | 23.8% | Not comparable |
CodingKimi K2.5 wins11 benchmarks
| Benchmark | Kimi K2.5 | MiMo-V2.5 | Result |
|---|---|---|---|
| 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% | 56.1% | MiMo-V2.5 leads |
| 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% | — | Not comparable |
| AA Coding IndexSource | 46.8% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 65.8% | Not comparable |
Reasoning3 benchmarks
Knowledge12 benchmarks
| Benchmark | Kimi K2.5 | MiMo-V2.5 | Result |
|---|---|---|---|
| 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% | — | Not comparable |
| AA-GPQA DiamondSource | 87.9% | — | Not comparable |
| AA-HLESource | 29.4% | — | Not comparable |
| AA-Omniscience IndexSource | -8.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 34.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 64.6% | — | Not comparable |
Math9 benchmarks
| Benchmark | Kimi K2.5 | MiMo-V2.5 | Result |
|---|---|---|---|
| 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 |
Multilingual2 benchmarks
MultimodalMiMo-V2.5 wins8 benchmarks
| Benchmark | Kimi K2.5 | MiMo-V2.5 | Result |
|---|---|---|---|
| MMMU-ProSource | 78.5% | 77.9% | Kimi K2.5 leads |
| 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 | 1279 | 1291 | MiMo-V2.5 leads |
| Video-MME (with subtitle)Source | — | 87.7% | Not comparable |
| CharXivSource | — | 81% | Not comparable |
Frequently Asked Questions (4)
Which is better, Kimi K2.5 or MiMo-V2.5?
Kimi K2.5 is ahead on BenchLM's BenchAlign leaderboard, 59.66 to 58.62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 65.8%.
Which is better for coding, Kimi K2.5 or MiMo-V2.5?
Kimi K2.5 has the edge for coding in this comparison, averaging 59.4 versus 56.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Kimi K2.5 or MiMo-V2.5?
MiMo-V2.5 has the edge for agentic tasks in this comparison, averaging 65.8 versus 55. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Kimi K2.5 or MiMo-V2.5?
MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 79 versus 78.5. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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