Gemini 3.6 Flash vs GPT-6.1 Sol
Verdict
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 60.4.
- GPT-6.1 Sol (max) is stronger in agents & tools, coding, composite, human preference, knowledge, long context, maths, multimodal, reasoning.
- Gemini 3.6 Flash (high) is 2.7× cheaper ($1.50 vs $4.00 per 1M blended).
- Gemini 3.6 Flash (high) streams 3.5× faster (197 vs 56 tokens per second).
| Metric | Gemini 3.6 Flash (high) | GPT-6.1 Sol (max) |
|---|---|---|
| BenchLeader Index | 60.4 | 69.3 |
| Agents & tools score | 52.0 | 63.9 |
| Coding score | 57.2 | 72.4 |
| Composite score | 57.0 | 79.0 |
| Human preference score | 67.9 | 68.1 |
| Knowledge score | 65.7 | 78.8 |
| Long context score | 65.2 | 66.8 |
| Maths score | 60.0 | 72.5 |
| Multimodal score | 65.5 | 66.2 |
| Reasoning score | 62.8 | 76.4 |
| Blended price $/M | $1.50 | $4.00 |
| Output speed | 197 tok/s | 56 tok/s |
| Time to first answer | 13.7 s | 326.9 s |
| Context window | 1.0M | 1.1M |
| GPQA Diamond | 94.1% | 95.4% |
| FrontierMath Tiers 1–3 | 59.0% | 93.7% |
| FrontierMath Tier 4 | 21.9% | 100.0% |
| OTIS Mock AIME | 94.2% | 100.0% |
| SimpleQA Verified | 66.2% | 73.9% |
| Terminal-Bench | – | 58.2% |
| SciCode | 52.7% | 54.2% |
| WeirdML | 56.1% | – |
| APEX-Agents | – | 60.0% |
| LMArena Text | 1482 | 1484 |
| LMArena Hard Prompts | 1501 | 1507 |
| LMArena Coding | 1518 | 1545 |
| LMArena WebDev | 1538 | 1755 |
| LMArena Vision | 1298 | 1288 |
| LMArena Agent | -7.8 | 11.7 |
| LiveBench | 73.6% | 81.6% |
| LiveBench Reasoning | 85.2% | 92.6% |
| LiveBench Coding | 77.9% | 80.4% |
| LiveBench Agentic Coding | 43.4% | 54.5% |
| LiveBench Mathematics | 86.4% | 96.8% |
| LiveBench Data Analysis | 63.0% | 82.7% |
| LiveBench Language | 83.9% | 90.1% |
| LiveBench Instruction Following | 75.4% | 74.2% |
| AA Intelligence Index v4.3.2 | 34.0 | 51.8 |
| AA-LCR | 80.0% | 83.0% |
| MMMU-Pro | 83.2% | 86.0% |
| AA-Omniscience | 22.1 | 41.5 |
| GPQA Diamond (AA) | 92.8% | – |
| Humanity's Last Exam (AA) | 40.8% | 52.9% |
| SciCode (AA) | 53.4% | 54.2% |
| LiveCodeBench | 88.1% | – |
| MMLU-Pro | 89.3% | – |
| IOI | 35.1% | 96.9% |
| LegalBench | 86.7% | – |
| CorpFin | 63.3% | – |
| TaxEval | 74.9% | – |
| Terminal-Bench 2.1 (Vals) | 73.8% | – |
| SWE-bench (Vals) | 79.6% | – |
| GPQA Diamond (Vals) | 93.4% | – |
| Vals Index | – | 61.1 |
| ARC-AGI-1 | 91.2% | 96.5% |
| ARC-AGI-2 | 60.4% | 94.2% |
| ARC-AGI-3 | – | 96.2% |
| CritPt | 10.6% | 31.7% |
| GDPval-AA v2.1 | 39.1% | 53.8% |
| τ³-Banking (AA) | 29.9% | – |
| Analyst Agent (AA) | – | 50.0% |
| BioMysteryBench | 58.5% | 79.6% |
| Code Migration | 30.9% | 65.1% |
| CyberBench | 45.4% | 39.3% |
| Excel Modeling Benchmark | 65.4% | 70.8% |
| Finance Agent v2 | 56.3% | 52.0% |
| Harvey's Legal Agent Benchmark | 3.3% | 5.4% |
| Legal Research Bench | 25.0% | 38.5% |
| MedCode | 53.1% | 48.8% |
| MedScribe | 79.7% | 86.5% |
| MMMU-Pro (Vals) | 88.4% | – |
| MortgageTax | 67.6% | – |
| MysteryMechanism | – | 46.4% |
| ProgramBench | 0.0% | – |
| Public Benefits Bench | 56.6% | 59.3% |
| SAGE | 48.7% | 46.5% |
| SREBench | – | 50.8% |
| Tax Agent Bench | 49.9% | 62.3% |
| Terminal-Bench 4.0 (Vals) | – | 55.0% |
| Terminal-Bench Science | 4.3% | – |
| Vals Multimodal Index | 65.1% | – |
| Vibe Code Bench v1.1 | 64.0% | 88.9% |
| LMArena Maths | 1503 | 1488 |
| LMArena Creative Writing | 1471 | 1462 |
| LMArena Instruction Following | 1472 | 1488 |
| LMArena Multi-turn | 1487 | 1487 |
| LMArena Longer Queries | 1485 | 1496 |
| LMArena Document | 1453 | – |
| Chess Puzzles | 40.0% | 61.0% |
| EBR-bench | – | 54.3% |
| Mystery Game Puzzles | 30.0% | 80.0% |
| DeepSWE v1.1 | 46.7% | – |
| LMCA | 44.9% | – |
| DTBench | 95.5% | – |
| ALE-Bench | 715.5 | – |
| GDP.pdf | 14.0% | – |
| Terminal-Bench 4.0 (AA) | 7.1% | 56.1% |
| Terminal-Bench 2.1 (AA) | 77.5% | – |
| AutomationBench | – | 64.9% |
| GDP.pdf | – | 31.0% |
| MLCR | – | 33.9% |
| Harvey LAB | – | 6.9% |
| AA-Omniscience: accuracy | 50.0% | 62.1% |
| AA-Omniscience: non-hallucination | 44.4% | 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 3.6 Flash vs GPT-6.1 Sol: questions
- Is Gemini 3.6 Flash better than GPT-6.1 Sol?
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 60.4. 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 3.6 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 3.6 Flash better than GPT-6.1 Sol for agentic tasks?
- GPT-6.1 Sol scores higher in agentic tasks (64 vs 52 on the category index, where 50 is average).
- Which is cheaper, Gemini 3.6 Flash or GPT-6.1 Sol?
- Gemini 3.6 Flash is cheaper: $1.50 against $4.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Gemini 3.6 Flash or GPT-6.1 Sol?
- Gemini 3.6 Flash streams faster: 197 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.