Model comparison
GPT-6.1 Sol vs Qwen3.7 Flash
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 73× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Last verified . 7 shared benchmarks.
Summary
- They share 7 benchmarks with published results for both. GPT-6.1 Sol scores higher in 3 categories and Qwen3.7 Flash in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 38.3.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 93.7% for GPT-6.1 Sol and 19.3% for Qwen3.7 Flash.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 1M.
Side by side
| GPT-6.1 Sol | Qwen3.7 Flash | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 65.6 | 39.9 |
| Released | 2026-09-29 | 2026-07-15 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $2 | $0.03 |
| Output $ / M tokens | $10 | $0.13 |
| Results tracked | 34 | 7 |
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Category by category
Coding Not comparable
GPT-6.1 Sol: 63.2 (#8), Qwen3.7 Flash: —
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
| LMArena Coding | 1487 | — |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), Qwen3.7 Flash: —
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| NYT Connections (extended) | 95.5% | 43.8% |
| Chess Puzzles | 61% | 23% |
| Mystery Game Puzzles | 80% | 15% |
| Epoch Capabilities Index | 166.09 | 144.64 |
| ARC-AGI-2 | 94.2% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| EBR-Bench | 54.3% | — |
| LMArena Hard Prompts | 1466 | — |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | 19.3% |
| OTIS Mock AIME 2024-2025 | 100% | 86.7% |
| FrontierMath Tier 4 | 100% | — |
| ProofBench | 99% | — |
| LMArena Math | 1464 | — |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 95.4% | 82.3% |
| SimpleQA Verified | 73.9% | — |
| LMArena Expert | 1502 | — |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), Qwen3.7 Flash: —
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual Not comparable
GPT-6.1 Sol: 54.3 (#46), Qwen3.7 Flash: —
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1477 | — |
| LMArena Russian | 1455 | — |
Instruction Following Not comparable
GPT-6.1 Sol: 77.0 (#29), Qwen3.7 Flash: —
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1468 | — |
Long Context Not comparable
GPT-6.1 Sol: 44.9 (#54), Qwen3.7 Flash: —
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1465 | — |
Writing & Preference Not comparable
GPT-6.1 Sol: 63.6 (#63), Qwen3.7 Flash: —
| Benchmark | GPT-6.1 Sol | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1447 | — |
| LMArena Creative Writing | 1432 | — |
| LMArena Multi-Turn | 1449 | — |
Frequently asked questions
Is GPT-6.1 Sol better than Qwen3.7 Flash?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 73× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-6.1 Sol or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 1M.
How many benchmarks do GPT-6.1 Sol and Qwen3.7 Flash share?
7 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Qwen3.7 Flash has 7.