GPT-5.5 Pro vs MiMo-V2.5-Pro
GPT-5.5 Pro 
MiMo-V2.5-Pro Verdict
- GPT-5.5 Pro (xhigh) leads on quality: 67.1 vs 59.2.
- GPT-5.5 Pro (xhigh) is stronger in maths, reasoning.
- MiMo-V2.5-Pro is stronger in agents & tools, coding, composite, human preference, instruction following, knowledge, long context.
- MiMo-V2.5-Pro is 103× cheaper ($0.653 vs $67.50 per 1M blended).
- MiMo-V2.5-Pro streams 13.3× faster (53 vs 4 tokens per second).
| Metric | GPT-5.5 Pro (xhigh) | MiMo-V2.5-Pro |
|---|---|---|
| BenchLeader Index | 67.1 | 59.2 |
| Maths score | 74.5 | 59.0 |
| Reasoning score | 80.1 | 55.6 |
| Agents & tools score | – | 45.9 |
| Coding score | – | 58.3 |
| Composite score | – | 62.5 |
| Human preference score | – | 61.5 |
| Instruction following score | – | 77.3 |
| Knowledge score | – | 57.6 |
| Long context score | – | 66.3 |
| Blended price $/M | $67.50 | $0.653 |
| Output speed | 4 tok/s | 53 tok/s |
| Time to first answer | 3.5 s | 42.2 s |
| Context window | 1.1M | 1.0M |
| FrontierMath Tiers 1–3 | 87.7% | – |
| FrontierMath Tier 4 | 78.0% | – |
| SciCode | – | 50.2% |
| ProofBench | – | 22.0% |
| LMArena Text | – | 1467 |
| LMArena Hard Prompts | – | 1496 |
| LMArena Coding | – | 1521 |
| LMArena WebDev | – | 1475 |
| LMArena Agent | – | -5.7 |
| AA Intelligence Index | – | 26.4 |
| IFBench | – | 79.9% |
| AA-LCR | – | 79.7% |
| AA-Omniscience | – | 3.3 |
| Terminal-Bench Hard | – | 43.2% |
| GPQA Diamond (AA) | – | 86.6% |
| Humanity's Last Exam (AA) | – | 35.7% |
| SciCode (AA) | – | 50.6% |
| τ²-Bench Telecom (AA) | – | 94.2% |
| LiveCodeBench | – | 81.3% |
| MMLU-Pro | – | 84.6% |
| LegalBench | – | 77.1% |
| CorpFin | – | 61.4% |
| TaxEval | – | 73.8% |
| Terminal-Bench 2.1 (Vals) | – | 57.3% |
| SWE-bench (Vals) | – | 74.0% |
| GPQA Diamond (Vals) | – | 82.6% |
| Vals Index | – | 41.0 |
| EQ-Bench 4 | – | 1208 |
| ARC-AGI-1 | 95.0% | – |
| ARC-AGI-2 | 84.2% | – |
| CritPt | 30.6% | 4.0% |
| GDPval (AA) | – | 34.3% |
| τ²-Bench Banking (AA) | – | 9.9% |
| ITBench SRE (AA) | – | 38.2% |
| Analyst Agent (AA) | – | 20.0% |
| APEX-Agents (AA) | – | 2.4% |
| Code Migration | – | 21.6% |
| Excel Modeling Benchmark | – | 55.2% |
| Finance Agent v2 | – | 41.5% |
| Harvey's Legal Agent Benchmark | – | 2.1% |
| Legal Research Bench | – | 15.9% |
| MedCode | – | 32.5% |
| MedScribe | – | 83.7% |
| Vibe Code Bench v1.1 | – | 34.1% |
| LMArena Maths | – | 1476 |
| LMArena Creative Writing | – | 1435 |
| LMArena Instruction Following | – | 1470 |
| LMArena Multi-turn | – | 1478 |
| LMArena Longer Queries | – | 1487 |
| LMCA | 53.9% | 29.5% |
| DTBench | 96.0% | 84.5% |
| ALE-Bench | – | 899.8 |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
GPT-5.5 Pro vs MiMo-V2.5-Pro: questions
- Is GPT-5.5 Pro better than MiMo-V2.5-Pro?
- GPT-5.5 Pro (xhigh) leads on quality: 67.1 vs 59.2. The BenchLeader Index combines every independent quality benchmark; GPT-5.5 Pro (xhigh) is ahead overall as of 2026-09-19, but check the category scores for your use.
- Which is cheaper, GPT-5.5 Pro or MiMo-V2.5-Pro?
- MiMo-V2.5-Pro is cheaper: $0.653 against $67.50 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-5.5 Pro or MiMo-V2.5-Pro?
- MiMo-V2.5-Pro streams faster: 53 against 4 output tokens per second.
- Which has the larger context window?
- GPT-5.5 Pro accepts more context: 1.1M against 1.0M tokens.