Gemini 3.1 Pro vs Qwen3.8 Max
Gemini 3.1 Pro 
Qwen3.8 Max Verdict
- Qwen3.8 Max (max) leads on quality: 64.2 vs 62.1.
- Gemini 3.1 Pro is stronger in instruction following, knowledge, long context.
- Qwen3.8 Max (max) is stronger in agents & tools, coding, composite, human preference, maths, multimodal, reasoning.
- Qwen3.8 Max (max) is 1.5× cheaper ($3.00 vs $4.50 per 1M blended).
- Gemini 3.1 Pro streams 3.1× faster (114 vs 37 tokens per second).
| Metric | Gemini 3.1 Pro | Qwen3.8 Max (max) |
|---|---|---|
| BenchLeader Index | 62.1 | 64.2 |
| Agents & tools score | 56.7 | 58.2 |
| Coding score | 57.3 | 64.6 |
| Composite score | 63.2 | 70.7 |
| Human preference score | 59.5 | 68.0 |
| Instruction following score | 68.4 | – |
| Knowledge score | 64.5 | 62.7 |
| Long context score | 66.3 | 65.4 |
| Maths score | 61.0 | 65.1 |
| Multimodal score | 64.9 | 66.2 |
| Reasoning score | 68.6 | 72.2 |
| Blended price $/M | $4.50 | $3.00 |
| Output speed | 114 tok/s | 37 tok/s |
| Time to first answer | 24.8 s | 58.9 s |
| Context window | 1.0M | 1M |
| GPQA Diamond | 94.1% | – |
| FrontierMath Tiers 1–3 | 59.6% | – |
| FrontierMath Tier 4 | 26.8% | – |
| OTIS Mock AIME | 95.6% | – |
| Humanity's Last Exam | 46.4% | – |
| Terminal-Bench | 80.2% | 27.0% |
| SimpleBench | 79.6% | – |
| SciCode | 58.9% | 53.2% |
| WeirdML | 72.1% | – |
| APEX-Agents | 35.3% | 63.3% |
| ProofBench | 26.0% | 58.0% |
| GSO-Bench | 22.6% | – |
| Epoch Capabilities Index | 154.8 | 156.4 |
| LMArena Text | 1487 | 1483 |
| LMArena Hard Prompts | 1508 | 1504 |
| LMArena Coding | 1522 | 1524 |
| LMArena WebDev | 1447 | 1672 |
| LMArena Vision | 1296 | 1314 |
| LMArena Agent | -7.8 | 2.3 |
| LiveBench | – | 78.5% |
| LiveBench Reasoning | – | 88.2% |
| LiveBench Coding | – | 72.9% |
| LiveBench Agentic Coding | – | 64.7% |
| LiveBench Mathematics | – | 91.3% |
| LiveBench Data Analysis | – | 78.4% |
| LiveBench Language | – | 79.7% |
| LiveBench Instruction Following | – | 74.1% |
| AA Intelligence Index v4.3.2 | 29.7 | 45.4 |
| IFBench | 77.1% | – |
| AA-LCR | 82.0% | 80.3% |
| MMMU-Pro | 82.4% | 82.8% |
| AA-Omniscience | 31.9 | 12.0 |
| Terminal-Bench Hard | 53.8% | – |
| GPQA Diamond (AA) | 94.1% | 92.8% |
| Humanity's Last Exam (AA) | 47.0% | 43.1% |
| SciCode (AA) | 58.7% | 53.2% |
| τ²-Bench Telecom (AA) | 95.6% | – |
| LiveCodeBench | – | 87.8% |
| MMLU-Pro | – | 88.6% |
| IOI | – | 68.9% |
| LegalBench | – | 83.6% |
| CorpFin | – | 65.8% |
| TaxEval | – | 75.5% |
| Terminal-Bench 2.1 (Vals) | – | 67.4% |
| SWE-bench (Vals) | – | 85.6% |
| GPQA Diamond (Vals) | – | 93.7% |
| Vals Index | – | 48.3 |
| AIME 2026 | 98.3% | – |
| HMMT February 2026 | 94.7% | – |
| MathArena Apex | 60.9% | – |
| MultiChallenge | 71.4% | – |
| PRBench Finance | 41.9% | – |
| PRBench Legal | 44.0% | – |
| MultiNRC | 64.7% | – |
| HiL-Bench | 35.3% | – |
| TutorBench | 53.0% | – |
| EQ-Bench 4 | 1142 | – |
| ARC-AGI-1 | 98.0% | – |
| ARC-AGI-2 | 77.1% | – |
| ARC-AGI-3 | 0.4% | – |
| CritPt | 17.7% | 20.0% |
| GDPval-AA v2.1 | 14.7% | 58.6% |
| τ³-Banking (AA) | 21.4% | 51.3% |
| ITBench SRE (AA) | 30.3% | 40.3% |
| Analyst Agent (AA) | 41.3% | 45.0% |
| APEX-Agents (AA) | 32.0% | 42.4% |
| Code Migration | – | 24.0% |
| CyberBench | – | 28.6% |
| Excel Modeling Benchmark | – | 60.1% |
| Finance Agent v2 | – | 50.6% |
| Harvey's Legal Agent Benchmark | – | 10.4% |
| Legal Research Bench | – | 47.6% |
| MedCode | – | 40.7% |
| MedScribe | – | 85.0% |
| MMMU-Pro (Vals) | – | 88.0% |
| MortgageTax | – | 64.0% |
| MysteryMechanism | – | 23.9% |
| ProgramBench | – | 0.0% |
| Public Benefits Bench | – | 67.1% |
| SAGE | – | 51.3% |
| SkillsBench | – | 42.0% |
| Tax Agent Bench | – | 66.0% |
| Terminal-Bench 4.0 (Vals) | – | 34.3% |
| Terminal-Bench Science | – | 1.4% |
| Vals Multimodal Index | – | 65.4% |
| Vibe Code Bench 1-100 | – | 12.8% |
| Vibe Code Bench v1.1 | – | 64.7% |
| FORTRESS | 29.8% | – |
| MASK | 42.4% | – |
| SWE Atlas: Codebase QnA | 13.5% | – |
| SWE Atlas: Refactoring | 33.8% | – |
| SWE Atlas: Test Writing | 29.8% | – |
| LMArena Maths | 1488 | 1497 |
| LMArena Creative Writing | 1481 | 1470 |
| LMArena Instruction Following | 1480 | 1474 |
| LMArena Multi-turn | 1497 | 1492 |
| LMArena Longer Queries | 1500 | 1492 |
| LMArena Document | 1459 | – |
| Chess Puzzles | 55.0% | – |
| EBR-bench | 14.3% | – |
| BALROG | 57.0% | – |
| PostTrainBench | 22.0% | – |
| ExploitBench | 26.1% | – |
| CL-bench | 20.8% | – |
| CL-bench Life | 16.9% | – |
| METR Time Horizons | 77.0% | – |
| DeepSWE v1.1 | 11.7% | – |
| ForecastBench | 59.0% | – |
| GBAEval | 0.8% | – |
| ALE-Bench | 1160.6 | – |
| AlgoTune | 2.0 | – |
| Vending-Bench 2 | 911.2 | – |
| Blueprint-Bench 2 | 26.5% | – |
| GDP.pdf | 17.0% | – |
| Terminal-Bench 4.0 (AA) | 4.0% | 38.9% |
| Terminal-Bench 2.1 (AA) | 73.8% | 88.8% |
| AutomationBench | 35.4% | 56.2% |
| GDP.pdf | 17.8% | 22.8% |
| MLCR | 15.6% | 20.0% |
| Harvey LAB | 0.0% | – |
| EnterpriseOps-Gym | 42.2% | 47.6% |
| AA-Omniscience: accuracy | 54.9% | 31.9% |
| AA-Omniscience: non-hallucination | 49.1% | 71.2% |
| AA-Briefcase v1.1 | 456 | 1617 |
| BrowseComp | 31.2% | – |
| DeepSearchQA | 60.2% | – |
| FACTS Search | 83.7% | – |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Gemini 3.1 Pro vs Qwen3.8 Max: questions
- Is Gemini 3.1 Pro better than Qwen3.8 Max?
- Qwen3.8 Max (max) leads on quality: 64.2 vs 62.1. The BenchLeader Index combines every independent quality benchmark; Qwen3.8 Max (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is Gemini 3.1 Pro better than Qwen3.8 Max for coding?
- Qwen3.8 Max scores higher in coding (65 vs 57 on the category index, where 50 is average).
- Is Gemini 3.1 Pro better than Qwen3.8 Max for agentic tasks?
- Qwen3.8 Max scores higher in agentic tasks (58 vs 57 on the category index, where 50 is average).
- Which is cheaper, Gemini 3.1 Pro or Qwen3.8 Max?
- Qwen3.8 Max is cheaper: $3.00 against $4.50 per million tokens, blended at three input tokens per output token.
- Which is faster, Gemini 3.1 Pro or Qwen3.8 Max?
- Gemini 3.1 Pro streams faster: 114 against 37 output tokens per second.
- Which has the larger context window?
- Gemini 3.1 Pro accepts more context: 1.0M against 1M tokens.