Gemini 3.1 Pro vs Muse Spark 1.1
Gemini 3.1 Pro 
Muse Spark 1.1 Verdict
- Muse Spark 1.1 leads on quality: 64.9 vs 63.9.
- Gemini 3.1 Pro is stronger in agents & tools, long context, maths, multimodal, reasoning.
- Muse Spark 1.1 is stronger in coding, composite, human preference, instruction following, knowledge.
- Muse Spark 1.1 is 2.3× cheaper ($2.00 vs $4.50 per 1M blended).
- Muse Spark 1.1 streams 1.8× faster (194 vs 110 tokens per second).
| Metric | Gemini 3.1 Pro | Muse Spark 1.1 |
|---|---|---|
| BenchLeader Index | 63.9 | 64.9 |
| Agents & tools score | 63.7 | 62.7 |
| Coding score | 59.8 | 68.2 |
| Composite score | 67.2 | 72.2 |
| Human preference score | 59.6 | 66.0 |
| Instruction following score | 69.5 | 77.8 |
| Knowledge score | 66.1 | 73.1 |
| Long context score | 67.6 | 65.3 |
| Maths score | 60.7 | 52.2 |
| Multimodal score | 66.1 | 64.9 |
| Reasoning score | 69.5 | 68.8 |
| Blended price $/M | $4.50 | $2.00 |
| Output speed | 110 tok/s | 194 tok/s |
| Time to first answer | 30.5 s | 2.0 s |
| Context window | 1.0M | 1.0M |
| GPQA Diamond | 94.1% | – |
| FrontierMath Tiers 1–3 | 59.6% | – |
| FrontierMath Tier 4 | 26.8% | – |
| OTIS Mock AIME | 95.6% | – |
| SimpleQA Verified | – | 57.8% |
| Humanity's Last Exam | 46.4% | – |
| Terminal-Bench | 80.2% | – |
| SimpleBench | 79.6% | – |
| SciCode | 58.9% | 58.2% |
| WeirdML | 72.1% | – |
| APEX-Agents | 33.5% | 41.9% |
| ProofBench | 26.0% | 39.0% |
| GSO-Bench | 22.6% | – |
| Epoch Capabilities Index | 155 | 154.6 |
| LMArena Text | 1487 | 1492 |
| LMArena Hard Prompts | 1507 | 1511 |
| LMArena Coding | 1521 | 1531 |
| LMArena WebDev | 1447 | 1541 |
| LMArena Vision | 1295 | 1293 |
| LMArena Agent | -5.3 | -2.6 |
| AA Intelligence Index | 30.4 | 34.3 |
| IFBench | 77.1% | – |
| AA-LCR | 82.0% | 77.7% |
| MMMU-Pro | 82.4% | – |
| AA-Omniscience | 31.9 | 28.1 |
| Terminal-Bench Hard | 53.8% | – |
| GPQA Diamond (AA) | 94.1% | 89.8% |
| Humanity's Last Exam (AA) | 47.0% | 46.2% |
| SciCode (AA) | 58.7% | 58.8% |
| τ²-Bench Telecom (AA) | 95.6% | – |
| AIME 2026 | 98.3% | – |
| HMMT February 2026 | 94.7% | – |
| MathArena Apex | 60.9% | – |
| SWE-Bench Pro | – | 61.5% |
| MCP Atlas | – | 88.1% |
| MultiChallenge | 71.4% | 75.3% |
| PRBench Finance | 41.9% | 55.0% |
| PRBench Legal | 44.0% | 57.0% |
| MultiNRC | 64.7% | 65.6% |
| HiL-Bench | 35.3% | – |
| TutorBench | 53.0% | – |
| EQ-Bench 4 | 1142 | 1260 |
| ARC-AGI-1 | 98.0% | – |
| ARC-AGI-2 | 77.1% | – |
| ARC-AGI-3 | 0.4% | – |
Data as of 2026-09-09. Best configuration of each model; every score links to its source on the model pages.