Claude Opus 4.6 vs MiMo-V2.6-Pro
Claude Opus 4.6 
MiMo-V2.6-Pro Verdict
- Claude Opus 4.6 and MiMo-V2.6-Pro are level on quality (63.7 vs 64.3).
- Claude Opus 4.6 is stronger in agents & tools, coding, human preference, maths, multimodal.
- MiMo-V2.6-Pro is stronger in reasoning, composite, knowledge, long context.
- MiMo-V2.6-Pro is 18× cheaper ($0.548 vs $10.00 per 1M blended).
- MiMo-V2.6-Pro streams 1.5× faster (54 vs 37 tokens per second).
| Metric | Claude Opus 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| BenchLeader Index | 63.7 | 64.3 |
| Agents & tools score | 68.8 | 55.1 |
| Coding score | 62.2 | – |
| Human preference score | 64.8 | – |
| Maths score | 68.8 | – |
| Multimodal score | 67.0 | – |
| Reasoning score | 62.2 | 88.8 |
| Composite score | – | 84.8 |
| Knowledge score | – | 66.8 |
| Long context score | – | 69.1 |
| Blended price $/M | $10.00 | $0.548 |
| Output speed | 37 tok/s | 54 tok/s |
| Time to first answer | 1.6 s | 39.8 s |
| Context window | 1M | 1.0M |
| GPQA Diamond | 90.5% | – |
| OTIS Mock AIME | 94.4% | – |
| SWE-bench Verified (Epoch) | 78.7% | – |
| Humanity's Last Exam | 19.0% | – |
| Terminal-Bench | 79.8% | – |
| SimpleBench | 67.6% | – |
| Cybench | 93.0% | – |
| Remote Labor Index | 4.2% | – |
| WeirdML | 77.9% | – |
| FrontierCode | 26.6% | – |
| GSO-Bench | 33.3% | – |
| Epoch Capabilities Index | 155.4 | – |
| LMArena Text | 1497 | – |
| LMArena Hard Prompts | 1527 | – |
| LMArena Coding | 1546 | – |
| LMArena WebDev | 1537 | – |
| LMArena Vision | 1312 | – |
| AA Intelligence Index | – | 46.3 |
| AA-LCR | – | 86.3% |
| AA-Omniscience | – | 8.4 |
| Humanity's Last Exam (AA) | – | 49.4% |
| SciCode (AA) | – | 60.9% |
| Terminal-Bench 2.1 (Vals) | – | 67.8% |
| Vals Index | – | 59.7 |
| HiL-Bench | 38.3% | – |
| EQ-Bench 4 | 1223 | – |
| Kagi LLM Benchmark | 72.4% | – |
| SWE-bench Verified (bash only) | 75.6% | – |
| SWE-bench Verified (any scaffold) | 75.6% | – |
| CritPt | – | 26.6% |
| GDPval (AA) | – | 58.7% |
| Code Migration | – | 43.0% |
| Excel Modeling Benchmark | – | 62.9% |
| Finance Agent v2 | – | 58.3% |
| Harvey's Legal Agent Benchmark | – | 10.8% |
| Legal Research Bench | – | 47.1% |
| MedCode | 48.2% | – |
| MedScribe | 86.7% | – |
| Terminal-Bench Science | – | 2.9% |
| Vibe Code Bench v1.1 | 57.6% | 85.2% |
| SWE Atlas: Codebase QnA | 33.3% | – |
| SWE Atlas: Refactoring | 35.6% | – |
| SWE Atlas: Test Writing | 36.7% | – |
| LMArena Maths | 1507 | – |
| LMArena Creative Writing | 1479 | – |
| LMArena Instruction Following | 1500 | – |
| LMArena Multi-turn | 1511 | – |
| LMArena Longer Queries | 1517 | – |
| LMArena Document | 1494 | – |
| Chess Puzzles | 17.0% | – |
| Mystery Game Puzzles | 15.0% | – |
| CL-bench | 20.7% | – |
| CL-bench Life | 13.6% | – |
| METR Time Horizons | 78.9% | – |
| ForecastBench | 60.0% | – |
| GBAEval | 44.1% | – |
| ALE-Bench | 996.5 | – |
| Vending-Bench 2 | 8017.6 | – |
| Terminal-Bench 4.0 (AA) | – | 34.9% |
| AutomationBench | – | 58.6% |
| GDP.pdf | – | 19.2% |
| AA-Omniscience: accuracy | – | 34.9% |
| AA-Omniscience: non-hallucination | – | 59.4% |
| AA-Briefcase | – | 1522 |
Data as of 2026-09-23. Best configuration of each model; every score links to its source on the model pages.
Claude Opus 4.6 vs MiMo-V2.6-Pro: questions
- Is Claude Opus 4.6 better than MiMo-V2.6-Pro?
- Claude Opus 4.6 and MiMo-V2.6-Pro are level on quality (63.7 vs 64.3). The BenchLeader Index combines every independent quality benchmark; MiMo-V2.6-Pro is ahead overall as of 2026-09-23, but check the category scores for your use.
- Is Claude Opus 4.6 better than MiMo-V2.6-Pro for agentic tasks?
- Claude Opus 4.6 scores higher in agentic tasks (69 vs 55 on the category index, where 50 is average).
- Which is cheaper, Claude Opus 4.6 or MiMo-V2.6-Pro?
- MiMo-V2.6-Pro is cheaper: $0.548 against $10.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Claude Opus 4.6 or MiMo-V2.6-Pro?
- MiMo-V2.6-Pro streams faster: 54 against 37 output tokens per second.
- Which has the larger context window?
- MiMo-V2.6-Pro accepts more context: 1.0M against 1M tokens.