Model comparison
GPT-6.1 Sol vs Qwen3 8B
Qwen3 8B has enough public results to be ranked (#237); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 33.4.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 131K.
- Qwen3 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Qwen3 8B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 33.3 |
| Released | 2026-09-29 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $2 | $0.18 |
| Output $ / M tokens | $10 | $0.70 |
| Results tracked | 2 | 11 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, Qwen3 8B: 33.4 (#245)
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 34.3, Qwen3 8B: 29.9 (#71)
| Benchmark | GPT-6.1 Sol | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, Qwen3 8B: 16.1 (#299)
| Benchmark | GPT-6.1 Sol | Qwen3 8B |
|---|---|---|
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |
| DTBench | — | 59.7% |
| LMCA | — | 8.8% |
| Epoch Capabilities Index | — | 136.17 |
Math Not comparable
GPT-6.1 Sol: —, Qwen3 8B: 33.3 (#176)
| Benchmark | GPT-6.1 Sol | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |
Knowledge Not comparable
GPT-6.1 Sol: —, Qwen3 8B: 36.1 (#164)
| Benchmark | GPT-6.1 Sol | Qwen3 8B |
|---|---|---|
| GPQA Diamond | — | 56.8% |
| Vectara Hallucination Rate | — | 4.8% |
Long Context Not comparable
GPT-6.1 Sol: —, Qwen3 8B: 37.8 (#205)
| Benchmark | GPT-6.1 Sol | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
Frequently asked questions
Is GPT-6.1 Sol better than Qwen3 8B?
Qwen3 8B has enough public results to be ranked (#237); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6.1 Sol or Qwen3 8B?
Qwen3 8B is cheaper. It lists at $0.18 per million input tokens and $0.70 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Qwen3 8B better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 33.4 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 131K.
How many benchmarks do GPT-6.1 Sol and Qwen3 8B share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Qwen3 8B has 11.