GPT-5.6 Terra vs MiMo-V2.6-Pro
Verdict
- GPT-5.6 Terra (max) and MiMo-V2.6-Pro are level on quality (64.5 vs 64.3).
- GPT-5.6 Terra (max) is stronger in agents & tools, coding, instruction following, maths, multimodal.
- MiMo-V2.6-Pro is stronger in composite, knowledge, long context, reasoning.
- MiMo-V2.6-Pro is 8.2× cheaper ($0.548 vs $4.50 per 1M blended).
- GPT-5.6 Terra (max) streams 1.5× faster (82 vs 54 tokens per second).
| Metric | GPT-5.6 Terra (max) | MiMo-V2.6-Pro |
|---|---|---|
| BenchLeader Index | 64.5 | 64.3 |
| Agents & tools score | 58.8 | 55.1 |
| Coding score | 66.5 | – |
| Composite score | 69.3 | 84.8 |
| Instruction following score | 69.8 | – |
| Knowledge score | 58.3 | 66.8 |
| Long context score | 67.3 | 69.1 |
| Maths score | 71.3 | – |
| Multimodal score | 64.5 | – |
| Reasoning score | 72.2 | 88.8 |
| Blended price $/M | $4.50 | $0.548 |
| Output speed | 82 tok/s | 54 tok/s |
| Time to first answer | 239.4 s | 39.8 s |
| Context window | 1.1M | 1.0M |
| GPQA Diamond | 93.3% | – |
| FrontierMath Tiers 1–3 | 86.0% | – |
| FrontierMath Tier 4 | 70.7% | – |
| OTIS Mock AIME | 99.7% | – |
| SimpleQA Verified | 43.2% | – |
| Terminal-Bench | 21.5% | – |
| SciCode | 55.0% | – |
| APEX-Agents | 58.2% | – |
| LiveBench | 77.9% | – |
| LiveBench Reasoning | 90.6% | – |
| LiveBench Coding | 78.3% | – |
| LiveBench Agentic Coding | 55.0% | – |
| LiveBench Mathematics | 94.9% | – |
| LiveBench Data Analysis | 79.3% | – |
| LiveBench Language | 82.9% | – |
| LiveBench Instruction Following | 64.6% | – |
| AA Intelligence Index | 42.1 | 46.3 |
| IFBench | 71.2% | – |
| AA-LCR | 83.0% | 86.3% |
| MMMU-Pro | 80.7% | – |
| AA-Omniscience | 0.1 | 8.4 |
| Terminal-Bench Hard | 57.6% | – |
| GPQA Diamond (AA) | 92.5% | – |
| Humanity's Last Exam (AA) | 42.9% | 49.4% |
| SciCode (AA) | 55.0% | 60.9% |
| τ²-Bench Telecom (AA) | 86.3% | – |
| IOI | 87.6% | – |
| LegalBench | 85.1% | – |
| Terminal-Bench 2.1 (Vals) | 77.5% | 67.8% |
| SWE-bench (Vals) | 95.4% | – |
| Vals Index | 59.6 | 59.7 |
| ARC-AGI-1 | 96.5% | – |
| ARC-AGI-2 | 83.9% | – |
| ARC-AGI-3 | 0.8% | – |
| CritPt | 30.0% | 26.6% |
| GDPval (AA) | 46.6% | 58.7% |
| τ²-Bench Banking (AA) | 40.2% | – |
| ITBench SRE (AA) | 51.0% | – |
| APEX-Agents (AA) | 38.9% | – |
| Code Migration | 47.8% | 43.0% |
| Excel Modeling Benchmark | 66.2% | 62.9% |
| Finance Agent v2 | 54.4% | 58.3% |
| Harvey's Legal Agent Benchmark | 0.8% | 10.8% |
| Legal Research Bench | 41.4% | 47.1% |
| MMMU-Pro (Vals) | 86.5% | – |
| ProgramBench | 0.5% | – |
| SAGE | 47.0% | – |
| SkillsBench | 58.9% | – |
| Tax Agent Bench | 65.2% | – |
| Terminal-Bench 4.0 (Vals) | 26.3% | – |
| Terminal-Bench Science | 10.0% | 2.9% |
| Vibe Code Bench 1-100 | 14.8% | – |
| Vibe Code Bench v1.1 | 74.6% | 85.2% |
| Chess Puzzles | 54.0% | – |
| Mystery Game Puzzles | 35.0% | – |
| BALROG | 53.2% | – |
| DeepSWE | 69.6% | – |
| LMCA | 55.0% | – |
| DTBench | 93.3% | – |
| CursorBench | 41.3% | – |
| ALE-Bench | 1951.4 | – |
| Terminal-Bench 4.0 (AA) | 35.4% | 34.9% |
| Terminal-Bench 2.1 (AA) | 88.0% | – |
| AutomationBench | – | 58.6% |
| GDP.pdf | – | 19.2% |
| AA-Omniscience: accuracy | 46.8% | 34.9% |
| AA-Omniscience: non-hallucination | 12.1% | 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.
GPT-5.6 Terra vs MiMo-V2.6-Pro: questions
- Is GPT-5.6 Terra better than MiMo-V2.6-Pro?
- GPT-5.6 Terra (max) and MiMo-V2.6-Pro are level on quality (64.5 vs 64.3). The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Terra (max) is ahead overall as of 2026-09-23, but check the category scores for your use.
- Is GPT-5.6 Terra better than MiMo-V2.6-Pro for agentic tasks?
- GPT-5.6 Terra scores higher in agentic tasks (59 vs 55 on the category index, where 50 is average).
- Which is cheaper, GPT-5.6 Terra or MiMo-V2.6-Pro?
- MiMo-V2.6-Pro is cheaper: $0.548 against $4.50 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-5.6 Terra or MiMo-V2.6-Pro?
- GPT-5.6 Terra streams faster: 82 against 54 output tokens per second.
- Which has the larger context window?
- GPT-5.6 Terra accepts more context: 1.1M against 1.0M tokens.