GPT-5.6 Sol vs Qwen3.8 Max
GPT-5.6 Sol 
Qwen3.8 Max Verdict
- GPT-5.6 Sol (max) leads on quality: 67.5 vs 64.2.
- GPT-5.6 Sol (max) is stronger in agents & tools, coding, composite, instruction following, knowledge, long context, maths, multimodal, reasoning.
- Qwen3.8 Max (max) is stronger in human preference.
- Qwen3.8 Max (max) is 2.7× cheaper ($3.00 vs $8.00 per 1M blended).
- GPT-5.6 Sol (max) streams 2.0× faster (74 vs 37 tokens per second).
| Metric | GPT-5.6 Sol (max) | Qwen3.8 Max (max) |
|---|---|---|
| BenchLeader Index | 67.5 | 64.2 |
| Agents & tools score | 66.5 | 58.2 |
| Coding score | 65.8 | 64.6 |
| Composite score | 75.4 | 70.7 |
| Instruction following score | 71.0 | – |
| Knowledge score | 65.8 | 62.7 |
| Long context score | 67.3 | 65.4 |
| Maths score | 71.5 | 65.1 |
| Multimodal score | 66.7 | 66.2 |
| Reasoning score | 72.7 | 72.2 |
| Human preference score | – | 68.0 |
| Blended price $/M | $8.00 | $3.00 |
| Output speed | 74 tok/s | 37 tok/s |
| Time to first answer | 85.3 s | 58.9 s |
| Context window | 1.1M | 1M |
| GPQA Diamond | 93.5% | – |
| FrontierMath Tiers 1–3 | 89.1% | – |
| FrontierMath Tier 4 | 82.9% | – |
| OTIS Mock AIME | 100.0% | – |
| SimpleQA Verified | 69.7% | – |
| Terminal-Bench | 37.3% | 27.0% |
| OSWorld-Verified 2.0 | 27.3% | – |
| SciCode | 57.1% | 53.2% |
| WeirdML | 87.0% | – |
| APEX-Agents | – | 63.3% |
| ProofBench | 83.0% | 58.0% |
| Epoch Capabilities Index | – | 156.4 |
| LMArena Text | – | 1483 |
| LMArena Hard Prompts | – | 1504 |
| LMArena Coding | – | 1524 |
| LMArena WebDev | – | 1672 |
| LMArena Vision | – | 1314 |
| LMArena Agent | – | 2.3 |
| LiveBench | 81.0% | 78.5% |
| LiveBench Reasoning | 91.7% | 88.2% |
| LiveBench Coding | 83.9% | 72.9% |
| LiveBench Agentic Coding | 56.2% | 64.7% |
| LiveBench Mathematics | 96.2% | 91.3% |
| LiveBench Data Analysis | 79.8% | 78.4% |
| LiveBench Language | 87.7% | 79.7% |
| LiveBench Instruction Following | 71.8% | 74.1% |
| AA Intelligence Index v4.3.2 | 47.0 | 45.4 |
| IFBench | 72.7% | – |
| AA-LCR | 84.0% | 80.3% |
| MMMU-Pro | 83.4% | 82.8% |
| AA-Omniscience | 22.0 | 12.0 |
| Terminal-Bench Hard | 65.9% | – |
| GPQA Diamond (AA) | 94.1% | 92.8% |
| Humanity's Last Exam (AA) | 49.5% | 43.1% |
| SciCode (AA) | 57.1% | 53.2% |
| τ²-Bench Telecom (AA) | 85.1% | – |
| LiveCodeBench | 82.6% | 87.8% |
| MMLU-Pro | 89.1% | 88.6% |
| IOI | 91.2% | 68.9% |
| LegalBench | 87.0% | 83.6% |
| CorpFin | 64.4% | 65.8% |
| TaxEval | 74.8% | 75.5% |
| Terminal-Bench 2.1 (Vals) | 85.8% | 67.4% |
| SWE-bench (Vals) | 96.2% | 85.6% |
| GPQA Diamond (Vals) | 95.2% | 93.7% |
| Vals Index | 58.0 | 48.3 |
| PRBench Finance | 50.5% | – |
| PRBench Legal | 50.5% | – |
| ARC-AGI-1 | 96.5% | – |
| ARC-AGI-2 | 92.5% | – |
| ARC-AGI-3 | 7.8% | – |
| CritPt | 32.3% | 20.0% |
| GDPval-AA v2.1 | 55.6% | 58.6% |
| τ³-Banking (AA) | 44.3% | 51.3% |
| ITBench SRE (AA) | 56.2% | 40.3% |
| Analyst Agent (AA) | 47.5% | 45.0% |
| APEX-Agents (AA) | – | 42.4% |
| BioMysteryBench | 71.1% | – |
| Code Migration | 52.9% | 24.0% |
| CUA-bench | 8.3% | – |
| CyberBench | 76.3% | 28.6% |
| Excel Modeling Benchmark | 72.3% | 60.1% |
| Finance Agent v2 | 53.8% | 50.6% |
| Harvey's Legal Agent Benchmark | 2.5% | 10.4% |
| Legal Research Bench | 48.1% | 47.6% |
| MedCode | 44.0% | 40.7% |
| MedScribe | 85.2% | 85.0% |
| MMMU-Pro (Vals) | 88.8% | 88.0% |
| MortgageTax | 67.3% | 64.0% |
| MysteryMechanism | 33.3% | 23.9% |
| ProgramBench | 1.5% | 0.0% |
| Public Benefits Bench | 66.5% | 67.1% |
| SAGE | 52.6% | 51.3% |
| SkillsBench | 54.1% | 42.0% |
| SREBench | 30.5% | – |
| Tax Agent Bench | 68.0% | 66.0% |
| Terminal-Bench 4.0 (Vals) | 37.9% | 34.3% |
| Terminal-Bench Science | 20.0% | 1.4% |
| Time Horizon Index: KSP | 23.8% | – |
| Vals Multimodal Index | 72.6% | 65.4% |
| Vibe Code Bench 1-100 | 20.0% | 12.8% |
| Vibe Code Bench v1.1 | 80.5% | 64.7% |
| Web Search Index | 43.6% | – |
| LMArena Maths | – | 1497 |
| LMArena Creative Writing | – | 1470 |
| LMArena Instruction Following | – | 1474 |
| LMArena Multi-turn | – | 1492 |
| LMArena Longer Queries | – | 1492 |
| Chess Puzzles | 55.0% | – |
| EBR-bench | 44.8% | – |
| Mystery Game Puzzles | 58.0% | – |
| BALROG | 60.0% | – |
| PostTrainBench | 36.2% | – |
| DeepSWE v1.1 | 72.7% | – |
| LMCA | 58.4% | – |
| DTBench | 95.5% | – |
| CursorBench | 41.7% | – |
| ALE-Bench | 2176.9 | – |
| GDP.pdf | 30.7% | – |
| FrontierSWE | 32.2% | – |
| BTF-3 | 13.7% | – |
| Terminal-Bench 4.0 (AA) | 39.9% | 38.9% |
| Terminal-Bench 2.1 (AA) | 88.0% | 88.8% |
| AutomationBench | – | 56.2% |
| GDP.pdf | – | 22.8% |
| MLCR | – | 20.0% |
| EnterpriseOps-Gym | – | 47.6% |
| AA-Omniscience: accuracy | 59.4% | 31.9% |
| AA-Omniscience: non-hallucination | 7.8% | 71.2% |
| AA-Briefcase v1.1 | – | 1617 |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
GPT-5.6 Sol vs Qwen3.8 Max: questions
- Is GPT-5.6 Sol better than Qwen3.8 Max?
- GPT-5.6 Sol (max) leads on quality: 67.5 vs 64.2. The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Sol (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is GPT-5.6 Sol better than Qwen3.8 Max for coding?
- GPT-5.6 Sol scores higher in coding (66 vs 65 on the category index, where 50 is average).
- Is GPT-5.6 Sol better than Qwen3.8 Max for agentic tasks?
- GPT-5.6 Sol scores higher in agentic tasks (67 vs 58 on the category index, where 50 is average).
- Which is cheaper, GPT-5.6 Sol or Qwen3.8 Max?
- Qwen3.8 Max is cheaper: $3.00 against $8.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-5.6 Sol or Qwen3.8 Max?
- GPT-5.6 Sol streams faster: 74 against 37 output tokens per second.
- Which has the larger context window?
- GPT-5.6 Sol accepts more context: 1.1M against 1M tokens.