Claude Opus 5 vs MiMo-V2.6-Flash
Verdict
- Claude Opus 5 (high) leads on quality: 68.3 vs 59.7.
- Claude Opus 5 (high) is stronger in agents & tools, coding, composite, human preference, knowledge, long context, maths, multimodal, reasoning.
- MiMo-V2.6-Flash is 57× cheaper ($0.175 vs $10.00 per 1M blended).
| Metric | Claude Opus 5 (high) | MiMo-V2.6-Flash |
|---|---|---|
| BenchLeader Index | 68.3 | 59.7 |
| Agents & tools score | 65.1 | 55.5 |
| Coding score | 69.2 | 60.1 |
| Composite score | 84.1 | 72.5 |
| Human preference score | 68.9 | 64.0 |
| Knowledge score | 76.9 | 56.0 |
| Long context score | 64.7 | 62.3 |
| Maths score | 71.1 | 63.4 |
| Multimodal score | 66.4 | 57.8 |
| Reasoning score | 72.7 | 62.5 |
| Blended price $/M | $10.00 | $0.175 |
| Output speed | 54 tok/s | 58 tok/s |
| Time to first answer | 20.4 s | 38.1 s |
| Context window | 1M | 1.0M |
| Terminal-Bench | 50.3% | – |
| OSWorld-Verified 2.0 | 29.0% | – |
| SciCode | 54.3% | 51.3% |
| WeirdML | 91.6% | – |
| ProofBench | – | 63.0% |
| LMArena Text | 1490 | 1451 |
| LMArena Hard Prompts | 1515 | 1484 |
| LMArena Coding | 1534 | 1514 |
| LMArena WebDev | 1657 | 1637 |
| LMArena Vision | 1319 | 1259 |
| LMArena Agent | 8 | 0.4 |
| AA Intelligence Index v4.3.2 | 48.1 | 37.9 |
| AA-LCR | 79.0% | 74.3% |
| MMMU-Pro | 82.4% | 73.1% |
| AA-Omniscience | 33.7 | -12.7 |
| GPQA Diamond (AA) | 93.7% | – |
| Humanity's Last Exam (AA) | 52.8% | 35.1% |
| SciCode (AA) | 55.4% | 51.3% |
| IOI | – | 47.7% |
| Terminal-Bench 2.1 (Vals) | – | 76.4% |
| Vals Index | – | 53.2 |
| ARC-AGI-1 | 97.5% | – |
| ARC-AGI-2 | 88.3% | – |
| ARC-AGI-3 | 30.2% | – |
| CritPt | 28.3% | 12.0% |
| GDPval-AA v2.1 | 54.7% | 55.5% |
| τ³-Banking (AA) | 44.7% | – |
| BioMysteryBench | – | 69.3% |
| Code Migration | – | 40.9% |
| CyberBench | – | 75.4% |
| Excel Modeling Benchmark | – | 65.5% |
| Finance Agent v2 | – | 56.3% |
| Harvey's Legal Agent Benchmark | – | 11.3% |
| Legal Research Bench | – | 38.0% |
| MedCode | – | 41.1% |
| MedScribe | – | 85.3% |
| MysteryMechanism | – | 21.6% |
| ProgramBench | – | 0.5% |
| Public Benefits Bench | – | 67.6% |
| SAGE | – | 43.5% |
| SREBench | – | 4.2% |
| Tax Agent Bench | – | 59.9% |
| Terminal-Bench 4.0 (Vals) | – | 24.2% |
| Terminal-Bench Science | – | 4.3% |
| Vibe Code Bench v1.1 | – | 79.0% |
| LMArena Maths | 1521 | 1462 |
| LMArena Creative Writing | 1471 | 1387 |
| LMArena Instruction Following | 1497 | 1451 |
| LMArena Multi-turn | 1484 | 1452 |
| LMArena Longer Queries | 1504 | 1463 |
| LMArena Document | 1490 | – |
| DeepSWE v1.1 | 72.8% | – |
| LMCA | 63.7% | – |
| DTBench | 97.9% | – |
| CursorBench | 44.7% | – |
| ALE-Bench | 2164.6 | – |
| Terminal-Bench 4.0 (AA) | 46.0% | 22.7% |
| Terminal-Bench 2.1 (AA) | 87.6% | – |
| AutomationBench | 53.6% | – |
| GDP.pdf | 19.6% | – |
| MLCR | 59.4% | – |
| AA-Omniscience: accuracy | 58.9% | 27.0% |
| AA-Omniscience: non-hallucination | 38.8% | 45.6% |
| AA-Briefcase v1.1 | 1561 | – |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Claude Opus 5 vs MiMo-V2.6-Flash: questions
- Is Claude Opus 5 better than MiMo-V2.6-Flash?
- Claude Opus 5 (high) leads on quality: 68.3 vs 59.7. The BenchLeader Index combines every independent quality benchmark; Claude Opus 5 (high) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is Claude Opus 5 better than MiMo-V2.6-Flash for coding?
- Claude Opus 5 scores higher in coding (69 vs 60 on the category index, where 50 is average).
- Is Claude Opus 5 better than MiMo-V2.6-Flash for agentic tasks?
- Claude Opus 5 scores higher in agentic tasks (65 vs 56 on the category index, where 50 is average).
- Which is cheaper, Claude Opus 5 or MiMo-V2.6-Flash?
- MiMo-V2.6-Flash is cheaper: $0.175 against $10.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Claude Opus 5 or MiMo-V2.6-Flash?
- MiMo-V2.6-Flash streams faster: 58 against 54 output tokens per second.
- Which has the larger context window?
- MiMo-V2.6-Flash accepts more context: 1.0M against 1M tokens.