Model comparison
Kimi K2.6 vs MiMo-V2.5-Pro
Head-to-head evidence from 24 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2.6 #74 (Estimated); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.6 and MiMo-V2.5-Pro share 24 comparable benchmark results. 3 of 8 categories are comparable. 27 results are unique to Kimi K2.6; 7 to MiMo-V2.5-Pro.
Updated July 21, 2026- Shared results
- 24
- Kimi K2.6 only
- 27
- MiMo-V2.5-Pro only
- 7
- Comparable categories
- 3 / 8
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if coding is the priority.
Confidence note. This is a partial-evidence comparison with 24 shared benchmark results across 6 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
MiMo-V2.5-Pro is clearly ahead on the BenchAlign aggregate, 70.19 to 56.79. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro's sharpest advantage is in knowledge, where it averages 48 against 42.2. The single biggest benchmark swing on the page is HLE, 34.7% to 48%. Kimi K2.6 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 256K for Kimi K2.6.
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 K2.6 | Δ | MiMo-V2.5-Pro |
|---|---|---|---|
| Coding | Kimi K2.664.4 | Margin← 7.2 | MiMo-V2.5-Pro57.2 |
| Knowledge | Kimi K2.642.2 | Margin→ 5.8 | MiMo-V2.5-Pro48.0 |
| Agentic | Kimi K2.673.5 | Margin← 5.1 | MiMo-V2.5-Pro68.4 |
| Math | Kimi K2.667.1 | MarginNo overlap | MiMo-V2.5-ProNot measured |
| Multimodal | Kimi K2.679.8 | MarginNo overlap | MiMo-V2.5-ProNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 34.7%B 48%Winner: MiMo-V2.5-ProΔ 13.3HLE: Kimi K2.6 scored 34.7%; MiMo-V2.5-Pro scored 48%. MiMo-V2.5-Pro wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 66.7%B 68.4%Winner: MiMo-V2.5-ProΔ 1.7Terminal-Bench 2.0: Kimi K2.6 scored 66.7%; MiMo-V2.5-Pro scored 68.4%. MiMo-V2.5-Pro wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 58.6%B 57.2%Winner: Kimi K2.6Δ 1.4SWE-bench Pro: Kimi K2.6 scored 58.6%; MiMo-V2.5-Pro scored 57.2%. Kimi K2.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.6 | MiMo-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.6$0.95 input / $4 output | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Kimi K2.6Not available | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.6Not available | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.6256K | MiMo-V2.5-Pro1M | MiMo-V2.5-Pro lists the larger context window. |
Benchmark Deep Dive
AgenticKimi K2.6 wins22 benchmarks
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 66.7% | 68.4% | MiMo-V2.5-Pro leads |
| BrowseCompSource | 83.2% | — | Not comparable |
| OSWorld-VerifiedSource | 73.1% | — | Not comparable |
| ToolathlonSource | 50% | — | Not comparable |
| MCP AtlasSource | 55.9% | — | Not comparable |
| Claw-EvalSource | 62.3% | 63.8% | MiMo-V2.5-Pro leads |
| DeepSearchQASource | 92.5% | — | Not comparable |
| WideResearchSource | 80.8% | — | Not comparable |
| AA Agentic IndexSource | 30.3% | 29.1% | Kimi K2.6 leads |
| τ²-bench resultsSource | 95.9% | 94.2% | Kimi K2.6 leads |
| GDPval-AASource | 34.5% | 38.3% | MiMo-V2.5-Pro leads |
| GDPval-AASource | 1189 | 1265 | MiMo-V2.5-Pro leads |
| APEX-Agents-AASource | 28.5% | 2.4% | Kimi K2.6 leads |
| Gert LabsSource | 56.82% | 62.70% | MiMo-V2.5-Pro leads |
| ResearchClawBenchSource | 18.0% | — | Not comparable |
| OSWorld 2.0Source | 4.6% | — | Not comparable |
| terminalBenchHardSource | 43.9% | 43.2% | Kimi K2.6 leads |
| τ³-bench resultsSource | — | 72.9% | Not comparable |
| AA BriefcaseSource | — | 873 | Not comparable |
| AA ITBenchSource | — | 38.2% | Not comparable |
| aaTerminalBench21Source | — | 65.2% | Not comparable |
| AA Harvey LABSource | — | 73.3% | Not comparable |
CodingKimi K2.6 wins10 benchmarks
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.2% | — | Not comparable |
| LiveCodeBench v6Source | 89.6% | — | Not comparable |
| SWE-bench ProSource | 58.6% | 57.2% | Kimi K2.6 leads |
| SWE MultilingualSource | 76.7% | — | Not comparable |
| SciCodeSource | 52.2% | — | Not comparable |
| Terminal-Bench 2.0Source | 66.7% | 68.4% | MiMo-V2.5-Pro leads |
| Vibe Code BenchSource | 37.89% | — | Not comparable |
| cursorBench31Source | 47.6% | — | Not comparable |
| AA Coding IndexSource | 61.8% | 60.2% | Kimi K2.6 leads |
| AA-SciCodeSource | 53.5% | 50.2% | Kimi K2.6 leads |
Reasoning2 benchmarks
KnowledgeMiMo-V2.5-Pro wins11 benchmarks
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| GPQASource | 90.5% | — | Not comparable |
| GPQA-DSource | 90.5% | — | Not comparable |
| HLESource | 34.7% | 48% | MiMo-V2.5-Pro leads |
| Artificial Analysis Intelligence IndexSource | 44.2% | 42.2% | Kimi K2.6 leads |
| AA-GPQA DiamondSource | 91.1% | 86.6% | Kimi K2.6 leads |
| AA-HLESource | 35.9% | 33.8% | Kimi K2.6 leads |
| AA-Omniscience IndexSource | 6.4% | 3.6% | Kimi K2.6 leads |
| AA-Omniscience AccuracySource | 32.8% | 22.6% | Kimi K2.6 leads |
| AA-Omniscience Hallucination RateSource | 39.3% | 24.5% | MiMo-V2.5-Pro leads |
| HLE w/o toolsSource | — | 34% | Not comparable |
| AA Openness IndexSource | — | 38.9% | Not comparable |
Math5 benchmarks
Multimodal7 benchmarks
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| MMMU-ProSource | 79.4% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 80.1% | — | Not comparable |
| CharXivSource | 80.4% | — | Not comparable |
| MathVisionSource | 87.4% | — | Not comparable |
| V*Source | 96.9% | — | Not comparable |
| AA-MMMU-ProSource | 79.4% | — | Not comparable |
| Design Arena WebsiteSource | 1306 | 1298 | Kimi K2.6 leads |
Inst. Following1 benchmarks
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 76.0% | 79.9% | MiMo-V2.5-Pro leads |
Frequently Asked Questions (4)
Which is better, Kimi K2.6 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is ahead on BenchLM's BenchAlign leaderboard, 70.19 to 56.79. The biggest single separator in this matchup is HLE, where the scores are 34.7% and 48%.
Which is better for knowledge tasks, Kimi K2.6 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro has the edge for knowledge tasks in this comparison, averaging 48 versus 42.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Kimi K2.6 or MiMo-V2.5-Pro?
Kimi K2.6 has the edge for coding in this comparison, averaging 64.4 versus 57.2. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Kimi K2.6 or MiMo-V2.5-Pro?
Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 68.4. Inside this category, GDPval-AA 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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