Model comparison
Claude Sonnet 4.6 vs MiMo-V2.5
Head-to-head evidence from 5 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.6 #32 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and MiMo-V2.5 share 5 comparable benchmark results. 3 of 8 categories are comparable. 28 results are unique to Claude Sonnet 4.6; 6 to MiMo-V2.5.
Updated July 21, 2026- Shared results
- 5
- Claude Sonnet 4.6 only
- 28
- MiMo-V2.5 only
- 6
- Comparable categories
- 3 / 8
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if multimodal & grounded is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 2 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
Claude Sonnet 4.6 is clearly ahead on the BenchAlign aggregate, 65.07 to 58.62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in coding, where it averages 69.1 against 56.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59.1% to 65.8%. MiMo-V2.5 does hit back in multimodal & grounded, 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 Claude Sonnet 4.6 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 200K for Claude Sonnet 4.6.
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 | Claude Sonnet 4.6 | Δ | MiMo-V2.5 |
|---|---|---|---|
| Coding | Claude Sonnet 4.669.1 | Margin← 13.0 | MiMo-V2.556.1 |
| Multimodal | Claude Sonnet 4.677.4 | Margin→ 1.6 | MiMo-V2.579.0 |
| Agentic | Claude Sonnet 4.665.2 | Margin→ 0.6 | MiMo-V2.565.8 |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | MiMo-V2.5Not measured |
| Math | Claude Sonnet 4.626.4 | 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 59.1%B 65.8%Winner: MiMo-V2.5Δ 6.7Terminal-Bench 2.0: Claude Sonnet 4.6 scored 59.1%; MiMo-V2.5 scored 65.8%. MiMo-V2.5 wins this benchmark. - Source ↗
CharXiv
MultimodalA 77.4%B 81%Winner: MiMo-V2.5Δ 3.6CharXiv: Claude Sonnet 4.6 scored 77.4%; MiMo-V2.5 scored 81%. MiMo-V2.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | MiMo-V2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | MiMo-V2.5Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | MiMo-V2.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | MiMo-V2.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | MiMo-V2.51M | MiMo-V2.5 lists the larger context window. |
Benchmark Deep Dive
AgenticMiMo-V2.5 wins10 benchmarks
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | 65.8% | MiMo-V2.5 leads |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | 62.3% | Claude Sonnet 4.6 leads |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | — | Not comparable |
| Gert LabsSource | 62.92% | 46.89% | Claude Sonnet 4.6 leads |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
| MM-ClawBenchSource | — | 23.8% | Not comparable |
| ResearchClawBenchSource | — | 16.9% | Not comparable |
CodingClaude Sonnet 4.6 wins9 benchmarks
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.5 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | — | Not comparable |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
| SWE-bench ProSource | — | 56.1% | Not comparable |
| Terminal-Bench 2.0Source | — | 65.8% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.5 | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | — | Not comparable |
| AA-GPQA DiamondSource | 79.9% | — | Not comparable |
| AA-HLESource | 13.2% | — | Not comparable |
| AA-Omniscience IndexSource | -2.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 38.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 65.9% | — | Not comparable |
Math2 benchmarks
MultimodalMiMo-V2.5 wins5 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | — | Not comparable |
Frequently Asked Questions (4)
Which is better, Claude Sonnet 4.6 or MiMo-V2.5?
Claude Sonnet 4.6 is ahead on BenchLM's BenchAlign leaderboard, 65.07 to 58.62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 59.1% and 65.8%.
Which is better for coding, Claude Sonnet 4.6 or MiMo-V2.5?
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 69.1 versus 56.1. MiMo-V2.5 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, Claude Sonnet 4.6 or MiMo-V2.5?
MiMo-V2.5 has the edge for agentic tasks in this comparison, averaging 65.8 versus 65.2. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Sonnet 4.6 or MiMo-V2.5?
MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 79 versus 77.4. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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