Gemini 3.5 Flash vs GPT-6.1 Sol
Gemini 3.5 Flash 
GPT-6.1 Sol Verdict
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 63.0.
- Gemini 3.5 Flash (medium) is stronger in agents & tools, instruction following, multimodal.
- GPT-6.1 Sol (max) is stronger in coding, composite, human preference, knowledge, long context, maths, reasoning.
- Gemini 3.5 Flash (medium) is 1.2× cheaper ($3.38 vs $4.00 per 1M blended).
- Gemini 3.5 Flash (medium) streams 3.7× faster (206 vs 56 tokens per second).
| Metric | Gemini 3.5 Flash (medium) | GPT-6.1 Sol (max) |
|---|---|---|
| BenchLeader Index | 63.0 | 69.3 |
| Agents & tools score | 67.9 | 63.9 |
| Coding score | 56.8 | 72.4 |
| Composite score | 67.6 | 79.0 |
| Human preference score | 67.1 | 68.1 |
| Instruction following score | 72.7 | – |
| Knowledge score | 71.1 | 78.8 |
| Long context score | 62.3 | 66.8 |
| Maths score | 66.8 | 72.5 |
| Multimodal score | 66.5 | 66.2 |
| Reasoning score | 61.7 | 76.4 |
| Blended price $/M | $3.38 | $4.00 |
| Output speed | 206 tok/s | 56 tok/s |
| Time to first answer | 13.6 s | 326.9 s |
| Context window | 1.0M | 1.1M |
| GPQA Diamond | – | 95.4% |
| FrontierMath Tiers 1–3 | – | 93.7% |
| FrontierMath Tier 4 | – | 100.0% |
| OTIS Mock AIME | – | 100.0% |
| SimpleQA Verified | – | 73.9% |
| Terminal-Bench | – | 58.2% |
| SciCode | – | 54.2% |
| APEX-Agents | – | 60.0% |
| LMArena Text | 1476 | 1484 |
| LMArena Hard Prompts | 1495 | 1507 |
| LMArena Coding | 1506 | 1545 |
| LMArena WebDev | 1491 | 1755 |
| LMArena Vision | 1309 | 1288 |
| LMArena Agent | – | 11.7 |
| LiveBench | – | 81.6% |
| LiveBench Reasoning | – | 92.6% |
| LiveBench Coding | – | 80.4% |
| LiveBench Agentic Coding | – | 54.5% |
| LiveBench Mathematics | – | 96.8% |
| LiveBench Data Analysis | – | 82.7% |
| LiveBench Language | – | 90.1% |
| LiveBench Instruction Following | – | 74.2% |
| AA Intelligence Index v4.3.2 | 33.6 | 51.8 |
| IFBench | 74.6% | – |
| AA-LCR | 74.3% | 83.0% |
| MMMU-Pro | 83.9% | 86.0% |
| AA-Omniscience | 20.8 | 41.5 |
| Terminal-Bench Hard | 39.4% | – |
| GPQA Diamond (AA) | 92.1% | – |
| Humanity's Last Exam (AA) | 41.3% | 52.9% |
| SciCode (AA) | – | 54.2% |
| τ²-Bench Telecom (AA) | 95.6% | – |
| IOI | – | 96.9% |
| Vals Index | – | 61.1 |
| ARC-AGI-1 | – | 96.5% |
| ARC-AGI-2 | – | 94.2% |
| ARC-AGI-3 | – | 96.2% |
| CritPt | 10.9% | 31.7% |
| GDPval-AA v2.1 | – | 53.8% |
| Analyst Agent (AA) | – | 50.0% |
| BioMysteryBench | – | 79.6% |
| Code Migration | – | 65.1% |
| CyberBench | – | 39.3% |
| Excel Modeling Benchmark | – | 70.8% |
| Finance Agent v2 | – | 52.0% |
| Harvey's Legal Agent Benchmark | – | 5.4% |
| Legal Research Bench | – | 38.5% |
| MedCode | – | 48.8% |
| MedScribe | – | 86.5% |
| MysteryMechanism | – | 46.4% |
| Public Benefits Bench | – | 59.3% |
| SAGE | – | 46.5% |
| SREBench | – | 50.8% |
| Tax Agent Bench | – | 62.3% |
| Terminal-Bench 4.0 (Vals) | – | 55.0% |
| Vibe Code Bench v1.1 | – | 88.9% |
| LMArena Maths | 1482 | 1488 |
| LMArena Creative Writing | 1469 | 1462 |
| LMArena Instruction Following | 1466 | 1488 |
| LMArena Multi-turn | 1478 | 1487 |
| LMArena Longer Queries | 1480 | 1496 |
| LMArena Document | 1461 | – |
| Chess Puzzles | – | 61.0% |
| EBR-bench | – | 54.3% |
| Mystery Game Puzzles | – | 80.0% |
| Surface Evolver Bench | 58.1% | – |
| DeepSWE v1.1 | 37.4% | – |
| GDP.pdf | 14.0% | – |
| Terminal-Bench 4.0 (AA) | – | 56.1% |
| AutomationBench | – | 64.9% |
| GDP.pdf | – | 31.0% |
| MLCR | – | 33.9% |
| Harvey LAB | – | 6.9% |
| AA-Omniscience: accuracy | 51.0% | 62.1% |
| AA-Omniscience: non-hallucination | 38.2% | 45.7% |
| AA-Briefcase v1.1 | – | 1557 |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Gemini 3.5 Flash vs GPT-6.1 Sol: questions
- Is Gemini 3.5 Flash better than GPT-6.1 Sol?
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 63.0. The BenchLeader Index combines every independent quality benchmark; GPT-6.1 Sol (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is Gemini 3.5 Flash better than GPT-6.1 Sol for coding?
- GPT-6.1 Sol scores higher in coding (72 vs 57 on the category index, where 50 is average).
- Is Gemini 3.5 Flash better than GPT-6.1 Sol for agentic tasks?
- Gemini 3.5 Flash scores higher in agentic tasks (68 vs 64 on the category index, where 50 is average).
- Which is cheaper, Gemini 3.5 Flash or GPT-6.1 Sol?
- Gemini 3.5 Flash is cheaper: $3.38 against $4.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Gemini 3.5 Flash or GPT-6.1 Sol?
- Gemini 3.5 Flash streams faster: 206 against 56 output tokens per second.
- Which has the larger context window?
- GPT-6.1 Sol accepts more context: 1.1M against 1.0M tokens.