GPT-6 Astra vs Qwen3.8 Max
GPT-6 Astra 
Qwen3.8 Max Verdict
- GPT-6 Astra (max) leads on quality: 70.2 vs 64.2.
- GPT-6 Astra (max) is stronger in agents & tools, coding, composite, knowledge, long context, maths, multimodal, reasoning.
- Qwen3.8 Max (max) is stronger in human preference.
- Qwen3.8 Max (max) is 6.7× cheaper ($3.00 vs $20.00 per 1M blended).
| Metric | GPT-6 Astra (max) | Qwen3.8 Max (max) |
|---|---|---|
| BenchLeader Index | 70.2 | 64.2 |
| Agents & tools score | 68.8 | 58.2 |
| Coding score | 74.4 | 64.6 |
| Composite score | 80.3 | 70.7 |
| Human preference score | 67.0 | 68.0 |
| Knowledge score | 79.9 | 62.7 |
| Long context score | 65.6 | 65.4 |
| Maths score | 72.2 | 65.1 |
| Multimodal score | 66.3 | 66.2 |
| Reasoning score | 76.7 | 72.2 |
| Blended price $/M | $20.00 | $3.00 |
| Output speed | 47 tok/s | 37 tok/s |
| Time to first answer | 383.6 s | 58.9 s |
| Context window | 1.1M | 1M |
| GPQA Diamond | 95.8% | – |
| FrontierMath Tiers 1–3 | 93.7% | – |
| FrontierMath Tier 4 | 97.6% | – |
| OTIS Mock AIME | 100.0% | – |
| SimpleQA Verified | 75.6% | – |
| Terminal-Bench | 58.2% | 27.0% |
| SciCode | 56.5% | 53.2% |
| WeirdML | 93.3% | – |
| APEX-Agents | – | 63.3% |
| FrontierCode | 53.3% | – |
| ProofBench | – | 58.0% |
| Epoch Capabilities Index | – | 156.4 |
| LMArena Text | 1475 | 1483 |
| LMArena Hard Prompts | 1500 | 1504 |
| LMArena Coding | 1542 | 1524 |
| LMArena WebDev | 1786 | 1672 |
| LMArena Vision | 1281 | 1314 |
| LMArena Agent | 13.1 | 2.3 |
| LiveBench | 82.2% | 78.5% |
| LiveBench Reasoning | 92.7% | 88.2% |
| LiveBench Coding | 80.4% | 72.9% |
| LiveBench Agentic Coding | 57.3% | 64.7% |
| LiveBench Mathematics | 96.8% | 91.3% |
| LiveBench Data Analysis | 83.0% | 78.4% |
| LiveBench Language | 89.4% | 79.7% |
| LiveBench Instruction Following | 75.6% | 74.1% |
| AA Intelligence Index v4.3.2 | 52.7 | 45.4 |
| AA-LCR | 80.7% | 80.3% |
| MMMU-Pro | 86.9% | 82.8% |
| AA-Omniscience | 43.4 | 12.0 |
| GPQA Diamond (AA) | 96.1% | 92.8% |
| Humanity's Last Exam (AA) | 54.7% | 43.1% |
| SciCode (AA) | 56.5% | 53.2% |
| LiveCodeBench | – | 87.8% |
| MMLU-Pro | – | 88.6% |
| IOI | 100.0% | 68.9% |
| LegalBench | – | 83.6% |
| CorpFin | – | 65.8% |
| TaxEval | – | 75.5% |
| Terminal-Bench 2.1 (Vals) | 87.3% | 67.4% |
| SWE-bench (Vals) | – | 85.6% |
| GPQA Diamond (Vals) | – | 93.7% |
| Vals Index | 63.1 | 48.3 |
| ARC-AGI-1 | 97.5% | – |
| ARC-AGI-2 | 95.0% | – |
| ARC-AGI-3 | 98.6% | – |
| CritPt | 31.7% | 20.0% |
| GDPval-AA v2.1 | 52.1% | 58.6% |
| τ³-Banking (AA) | 41.4% | 51.3% |
| ITBench SRE (AA) | 48.6% | 40.3% |
| Analyst Agent (AA) | 51.3% | 45.0% |
| APEX-Agents (AA) | – | 42.4% |
| BioMysteryBench | 79.3% | – |
| Code Migration | 67.7% | 24.0% |
| CUA-bench | 19.2% | – |
| CyberBench | 41.1% | 28.6% |
| Excel Modeling Benchmark | 71.7% | 60.1% |
| Finance Agent v2 | 53.5% | 50.6% |
| Harvey's Legal Agent Benchmark | 5.4% | 10.4% |
| Legal Research Bench | 39.4% | 47.6% |
| MedCode | 48.5% | 40.7% |
| MedScribe | 87.9% | 85.0% |
| MMMU-Pro (Vals) | – | 88.0% |
| MortgageTax | – | 64.0% |
| MysteryMechanism | 53.1% | 23.9% |
| ProgramBench | 5.5% | 0.0% |
| Public Benefits Bench | – | 67.1% |
| SAGE | 46.4% | 51.3% |
| SkillsBench | – | 42.0% |
| SREBench | 56.9% | – |
| Tax Agent Bench | 63.3% | 66.0% |
| Terminal-Bench 4.0 (Vals) | 59.6% | 34.3% |
| Terminal-Bench Science | 62.9% | 1.4% |
| Time Horizon Index: KSP | 90.5% | – |
| Vals Multimodal Index | – | 65.4% |
| Vibe Code Bench 1-100 | 27.6% | 12.8% |
| Vibe Code Bench v1.1 | 89.6% | 64.7% |
| LMArena Maths | 1486 | 1497 |
| LMArena Creative Writing | 1448 | 1470 |
| LMArena Instruction Following | 1469 | 1474 |
| LMArena Multi-turn | 1484 | 1492 |
| LMArena Longer Queries | 1484 | 1492 |
| LMArena Document | 1473 | – |
| Chess Puzzles | 72.0% | – |
| EBR-bench | 76.2% | – |
| Mystery Game Puzzles | 84.0% | – |
| BALROG | 68.3% | – |
| DeepSWE v1.1 | 73.2% | – |
| ALE-Bench | 2951.3 | – |
| GDP.pdf | 34.2% | – |
| FrontierSWE | 65.5% | – |
| Terminal-Bench 4.0 (AA) | 59.1% | 38.9% |
| Terminal-Bench 2.1 (AA) | 88.4% | 88.8% |
| AutomationBench | 68.5% | 56.2% |
| GDP.pdf | 31.0% | 22.8% |
| MLCR | 35.0% | 20.0% |
| Harvey LAB | 8.6% | – |
| EnterpriseOps-Gym | – | 47.6% |
| AA-Omniscience: accuracy | 62.6% | 31.9% |
| AA-Omniscience: non-hallucination | 48.7% | 71.2% |
| AA-Briefcase v1.1 | 1570 | 1617 |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
GPT-6 Astra vs Qwen3.8 Max: questions
- Is GPT-6 Astra better than Qwen3.8 Max?
- GPT-6 Astra (max) leads on quality: 70.2 vs 64.2. The BenchLeader Index combines every independent quality benchmark; GPT-6 Astra (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is GPT-6 Astra better than Qwen3.8 Max for coding?
- GPT-6 Astra scores higher in coding (74 vs 65 on the category index, where 50 is average).
- Is GPT-6 Astra better than Qwen3.8 Max for agentic tasks?
- GPT-6 Astra scores higher in agentic tasks (69 vs 58 on the category index, where 50 is average).
- Which is cheaper, GPT-6 Astra or Qwen3.8 Max?
- Qwen3.8 Max is cheaper: $3.00 against $20.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-6 Astra or Qwen3.8 Max?
- GPT-6 Astra streams faster: 47 against 37 output tokens per second.
- Which has the larger context window?
- GPT-6 Astra accepts more context: 1.1M against 1M tokens.