GPT-6 Sol vs Qwen3.8 2.4T A95B
Verdict
- GPT-6 Sol (max) leads on quality: 67.7 vs 64.2.
- GPT-6 Sol (max) is stronger in composite, knowledge, long context, multimodal, reasoning.
- Qwen3.8 2.4T A95B is stronger in agents & tools.
- Qwen3.8 2.4T A95B is 1.3× cheaper ($3.00 vs $4.00 per 1M blended).
- GPT-6 Sol (max) streams 3.3× faster (126 vs 38 tokens per second).
| Metric | GPT-6 Sol (max) | Qwen3.8 2.4T A95B |
|---|---|---|
| BenchLeader Index | 67.7 | 64.2 |
| Composite score | 86.2 | 77.0 |
| Knowledge score | 75.4 | 64.9 |
| Long context score | 67.7 | 66.0 |
| Multimodal score | 67.1 | – |
| Reasoning score | 95.0 | 77.1 |
| Agents & tools score | – | 78.3 |
| Blended price $/M | $4.00 | $3.00 |
| Output speed | 126 tok/s | 38 tok/s |
| Time to first answer | 107.2 s | 55.4 s |
| Context window | 1.1M | 984k |
| AA Intelligence Index | 47.5 | 39.9 |
| AA-LCR | 83.7% | 80.3% |
| MMMU-Pro | 83.3% | – |
| AA-Omniscience | 27.1 | 4.3 |
| GPQA Diamond (AA) | – | 93.5% |
| Humanity's Last Exam (AA) | 47.9% | 42.5% |
| SciCode (AA) | 57.6% | 54.0% |
| CritPt | 30.9% | 20.0% |
| GDPval (AA) | 49.4% | 54.9% |
| τ²-Bench Banking (AA) | – | 49.1% |
| Terminal-Bench 4.0 (AA) | 43.9% | 11.1% |
| Terminal-Bench 2.1 (AA) | – | 82.0% |
| AutomationBench | 61.6% | 57.3% |
| GDP.pdf | 24.8% | 15.0% |
| MLCR | 16.1% | 0.0% |
| EnterpriseOps-Gym | – | 47.4% |
| AA-Omniscience: accuracy | 54.5% | 31.3% |
| AA-Omniscience: non-hallucination | 39.9% | 60.8% |
| AA-Briefcase | 1483 | 1445 |
| AA Openness Index | – | 27.8 |
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 2.4T A95B: questions
- Is GPT-6 Sol better than Qwen3.8 2.4T A95B?
- GPT-6 Sol (max) leads on quality: 67.7 vs 64.2. 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 2.4T A95B?
- Qwen3.8 2.4T A95B is cheaper: $3.00 against $4.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-6 Sol or Qwen3.8 2.4T A95B?
- GPT-6 Sol streams faster: 126 against 38 output tokens per second.
- Which has the larger context window?
- GPT-6 Sol accepts more context: 1.1M against 984k tokens.