GPT-6 Sol vs Qwen3.8-Flash-Next
Verdict
- GPT-6 Sol (max) leads on quality: 67.7 vs 60.9.
- GPT-6 Sol (max) is stronger in composite, knowledge, long context, multimodal, reasoning.
- Qwen3.8-Flash-Next is stronger in agents & tools, coding.
- Qwen3.8-Flash-Next is 17× cheaper ($0.230 vs $4.00 per 1M blended).
- GPT-6 Sol (max) streams 2.4× faster (126 vs 53 tokens per second).
| Metric | GPT-6 Sol (max) | Qwen3.8-Flash-Next |
|---|---|---|
| BenchLeader Index | 67.7 | 60.9 |
| Composite score | 86.2 | 65.9 |
| Knowledge score | 75.4 | 58.4 |
| Long context score | 67.7 | 65.6 |
| Multimodal score | 67.1 | 63.5 |
| Reasoning score | 95.0 | 61.3 |
| Agents & tools score | – | 65.8 |
| Coding score | – | 71.2 |
| Blended price $/M | $4.00 | $0.230 |
| Output speed | 126 tok/s | 53 tok/s |
| Time to first answer | 107.2 s | 40.3 s |
| Context window | 1.1M | 256k |
| LMArena WebDev | – | 1635 |
| LMArena Agent | – | -0.1 |
| LiveBench | – | 76.2% |
| LiveBench Reasoning | – | 87.4% |
| LiveBench Coding | – | 72.5% |
| LiveBench Agentic Coding | – | 61.6% |
| LiveBench Mathematics | – | 85.8% |
| LiveBench Data Analysis | – | 74.2% |
| LiveBench Language | – | 74.6% |
| LiveBench Instruction Following | – | 77.1% |
| AA Intelligence Index | 47.5 | 39.8 |
| AA-LCR | 83.7% | 79.7% |
| MMMU-Pro | 83.3% | 79.8% |
| AA-Omniscience | 27.1 | -9.7 |
| GPQA Diamond (AA) | – | 92.3% |
| Humanity's Last Exam (AA) | 47.9% | 38.0% |
| SciCode (AA) | 57.6% | 50.6% |
| CritPt | 30.9% | 11.1% |
| GDPval (AA) | 49.4% | 55.6% |
| τ²-Bench Banking (AA) | – | 45.4% |
| Terminal-Bench 4.0 (AA) | 43.9% | 25.3% |
| Terminal-Bench 2.1 (AA) | – | 86.1% |
| AutomationBench | 61.6% | – |
| GDP.pdf | 24.8% | – |
| MLCR | 16.1% | – |
| AA-Omniscience: accuracy | 54.5% | 24.5% |
| AA-Omniscience: non-hallucination | 39.9% | 54.7% |
| AA-Briefcase | 1483 | – |
Data as of 2026-09-23. Best configuration of each model; every score links to its source on the model pages.
GPT-6 Sol vs Qwen3.8-Flash-Next: questions
- Is GPT-6 Sol better than Qwen3.8-Flash-Next?
- GPT-6 Sol (max) leads on quality: 67.7 vs 60.9. The BenchLeader Index combines every independent quality benchmark; GPT-6 Sol (max) is ahead overall as of 2026-09-23, but check the category scores for your use.
- Which is cheaper, GPT-6 Sol or Qwen3.8-Flash-Next?
- Qwen3.8-Flash-Next is cheaper: $0.230 against $4.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-6 Sol or Qwen3.8-Flash-Next?
- GPT-6 Sol streams faster: 126 against 53 output tokens per second.
- Which has the larger context window?
- GPT-6 Sol accepts more context: 1.1M against 256k tokens.