Model comparison
GPT-6.1 Sol vs Qwen3.6 Plus
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 47.5 on the Noometry Index. Qwen3.6 Plus costs 3.6× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-6.1 Sol scores higher in 7 categories and Qwen3.6 Plus in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 29.3.
- The biggest single-benchmark swing is Mystery Game Puzzles: 80% for GPT-6.1 Sol and 12% for Qwen3.6 Plus.
- Qwen3.6 Plus is cheaper at $0.50 / $3 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 | Qwen3.6 Plus | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 65.6 | 47.5 |
| Released | 2026-09-29 | 2026-03-31 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $0.50 |
| Output $ / M tokens | $10 | $3 |
| Results tracked | 34 | 37 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| LMArena WebDev | 1755 | 1461 |
| SciCode | 55.8% | 40.7% |
| LMArena Coding | 1487 | 1467 |
| SWE-bench Verified | — | 57.9% |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| ALE-Bench | — | 670.15 |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), Qwen3.6 Plus: —
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
| Vending-Bench 2 | — | 5,115 |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| NYT Connections (extended) | 95.5% | 60.3% |
| CritPt | 31.7% | 2.9% |
| Chess Puzzles | 61% | 17% |
| LMArena Hard Prompts | 1466 | 1449 |
| Mystery Game Puzzles | 80% | 12% |
| Epoch Capabilities Index | 166.09 | 147.65 |
| ARC-AGI-2 | 94.2% | — |
| ARC-AGI-1 | 98.5% | — |
| Thematic Generalization | — | 59.5% |
| EBR-Bench | 54.3% | — |
| DTBench | — | 81.9% |
| LMCA | — | 33.1% |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | 38.2% |
| OTIS Mock AIME 2024-2025 | 100% | 93.3% |
| LMArena Math | 1464 | 1450 |
| FrontierMath Tier 4 | 100% | — |
| ProofBench | 99% | — |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| GPQA Diamond | 95.4% | 88.4% |
| SimpleQA Verified | 73.9% | 44.1% |
| LMArena Expert | 1502 | 1454 |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), Qwen3.6 Plus: —
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1438 | 1424 |
| LMArena Chinese | 1477 | 1477 |
| LMArena Russian | 1455 | 1434 |
| LMArena French | — | 1455 |
| LMArena German | — | 1452 |
| LMArena Japanese | — | 1389 |
| LMArena Korean | — | 1379 |
| LMArena Spanish | — | 1432 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1468 | 1425 |
Long Context Too close to call
GPT-6.1 Sol: 44.9 (#54), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1465 | 1439 |
| CL-bench | — | 20.3% |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1447 | 1437 |
| LMArena Creative Writing | 1432 | 1404 |
| LMArena Multi-Turn | 1449 | 1438 |
Frequently asked questions
Is GPT-6.1 Sol better than Qwen3.6 Plus?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 47.5 on the Noometry Index. Qwen3.6 Plus costs 3.6× 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 Qwen3.6 Plus?
Qwen3.6 Plus is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Qwen3.6 Plus better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 40.8 in the Noometry coding category.
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 Qwen3.6 Plus share?
23 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Qwen3.6 Plus has 37.