Model comparison
Claude Opus 4.6 vs MiMo-V2.5-Pro
Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.6 #16 (Supported); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and MiMo-V2.5-Pro share 18 comparable benchmark results. 3 of 8 categories are comparable. 28 results are unique to Claude Opus 4.6; 13 to MiMo-V2.5-Pro.
Updated July 21, 2026- Shared results
- 18
- Claude Opus 4.6 only
- 28
- MiMo-V2.5-Pro only
- 13
- Comparable categories
- 3 / 8
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Claude Opus 4.6 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 18 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 has the cleaner BenchAlign overall profile here, landing at 70.19 versus 68.59. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2.5-Pro is the reasoning model in the pair, while Claude Opus 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.
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 Opus 4.6 | Δ | MiMo-V2.5-Pro |
|---|---|---|---|
| Knowledge | Claude Opus 4.669.1 | Margin← 21.1 | MiMo-V2.5-Pro48.0 |
| Coding | Claude Opus 4.668.1 | Margin← 10.9 | MiMo-V2.5-Pro57.2 |
| Agentic | Claude Opus 4.673.0 | Margin← 4.6 | MiMo-V2.5-Pro68.4 |
| Math | Claude Opus 4.636.3 | MarginNo overlap | MiMo-V2.5-ProNot measured |
| Multimodal | Claude Opus 4.677.3 | 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 53%B 48%Winner: Claude Opus 4.6Δ 5HLE: Claude Opus 4.6 scored 53%; MiMo-V2.5-Pro scored 48%. Claude Opus 4.6 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 53.4%B 57.2%Winner: MiMo-V2.5-ProΔ 3.8SWE-bench Pro: Claude Opus 4.6 scored 53.4%; MiMo-V2.5-Pro scored 57.2%. MiMo-V2.5-Pro wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 65.4%B 68.4%Winner: MiMo-V2.5-ProΔ 3Terminal-Bench 2.0: Claude Opus 4.6 scored 65.4%; MiMo-V2.5-Pro scored 68.4%. MiMo-V2.5-Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 | MiMo-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.640 tok/s | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.61.78 s | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | MiMo-V2.5-Pro1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticClaude Opus 4.6 wins20 benchmarks
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 65.4% | 68.4% | MiMo-V2.5-Pro leads |
| BrowseCompSource | 83.7% | — | Not comparable |
| OSWorld-VerifiedSource | 72.7% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | 94.2% | MiMo-V2.5-Pro leads |
| Claw-EvalSource | 70.4% | 63.8% | Claude Opus 4.6 leads |
| DeepSearchQASource | 73.7% | — | Not comparable |
| CyberGymSource | 66.6% | — | Not comparable |
| Gert LabsSource | 61.85% | 62.70% | MiMo-V2.5-Pro leads |
| ResearchClawBenchSource | 19.9% | — | Not comparable |
| JobBenchSource | 36.7% | — | Not comparable |
| GDPval-AASource | — | 1265 | Not comparable |
| τ³-bench resultsSource | — | 72.9% | Not comparable |
| AA Agentic IndexSource | — | 29.1% | Not comparable |
| GDPval-AASource | — | 38.3% | Not comparable |
| APEX-Agents-AASource | — | 2.4% | Not comparable |
| AA BriefcaseSource | — | 873 | Not comparable |
| AA ITBenchSource | — | 38.2% | Not comparable |
| terminalBenchHardSource | — | 43.2% | Not comparable |
| aaTerminalBench21Source | — | 65.2% | Not comparable |
| AA Harvey LABSource | — | 73.3% | Not comparable |
CodingClaude Opus 4.6 wins11 benchmarks
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.8% | — | Not comparable |
| SWE-bench Verified*Source | 75.6% | — | Not comparable |
| LiveCodeBench ProSource | 70.7% | — | Not comparable |
| SWE-bench ProSource | 53.4% | 57.2% | MiMo-V2.5-Pro leads |
| SWE-RebenchSource | 65.3% | — | Not comparable |
| React Native EvalsSource | 84.1% | — | Not comparable |
| Vibe Code BenchSource | 57.57% | — | Not comparable |
| AA-SciCodeSource | 45.7% | 50.2% | MiMo-V2.5-Pro leads |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 68.4% | Not comparable |
| AA Coding IndexSource | — | 60.2% | Not comparable |
Reasoning2 benchmarks
KnowledgeClaude Opus 4.6 wins16 benchmarks
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| GPQASource | 91.3% | — | Not comparable |
| GPQA-DSource | 89.2% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 82% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 89.1% | — | Not comparable |
| HLESource | 53% | 48% | Claude Opus 4.6 leads |
| HLE w/o toolsSource | 40% | 34% | Claude Opus 4.6 leads |
| HealthBench HardSource | 14.8% | — | Not comparable |
| MedXpertQA (Text)Source | 52.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.8% | 42.2% | MiMo-V2.5-Pro leads |
| AA-GPQA DiamondSource | 84.0% | 86.6% | MiMo-V2.5-Pro leads |
| AA-HLESource | 18.6% | 33.8% | MiMo-V2.5-Pro leads |
| AA-Omniscience IndexSource | 3.5% | 3.6% | MiMo-V2.5-Pro leads |
| AA-Omniscience AccuracySource | 45.2% | 22.6% | Claude Opus 4.6 leads |
| AA-Omniscience Hallucination RateSource | 76.0% | 24.5% | MiMo-V2.5-Pro leads |
| AA Openness IndexSource | — | 38.9% | Not comparable |
Math3 benchmarks
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.6% | 79.9% | MiMo-V2.5-Pro leads |
Frequently Asked Questions (4)
Which is better, Claude Opus 4.6 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is ahead on BenchLM's BenchAlign leaderboard, 70.19 to 68.59. The biggest single separator in this matchup is HLE, where the scores are 53% and 48%.
Which is better for knowledge tasks, Claude Opus 4.6 or MiMo-V2.5-Pro?
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 69.1 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Opus 4.6 or MiMo-V2.5-Pro?
Claude Opus 4.6 has the edge for coding in this comparison, averaging 68.1 versus 57.2. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Opus 4.6 or MiMo-V2.5-Pro?
Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 73 versus 68.4. Inside this category, τ²-bench results is the benchmark that creates the most daylight between them.
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