Model comparison
GPT-6.1 Sol vs Qwen3 Coder Next
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 34.3 on the Noometry Index. Qwen3 Coder Next costs 14× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. GPT-6.1 Sol scores higher in 2 categories and Qwen3 Coder Next in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 22.4.
- The biggest single-benchmark swing is CritPt: 31.7% for GPT-6.1 Sol and 0% for Qwen3 Coder Next.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 262K.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Qwen3 Coder Next | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 65.6 | 34.3 |
| Released | 2026-09-29 | 2026-02-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $0.12 |
| Output $ / M tokens | $10 | $0.80 |
| Results tracked | 34 | 3 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| SciCode | 55.8% | 32.3% |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| WeirdML | — | 34.4% |
| LMArena Coding | 1487 | — |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), Qwen3 Coder Next: —
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| CritPt | 31.7% | 0% |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| LMArena Hard Prompts | 1466 | — |
| Mystery Game Puzzles | 80% | — |
| Epoch Capabilities Index | 166.09 | — |
Math Not comparable
GPT-6.1 Sol: 93.7 (#1), Qwen3 Coder Next: —
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
| LMArena Math | 1464 | — |
Knowledge Not comparable
GPT-6.1 Sol: 71.8 (#4), Qwen3 Coder Next: —
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |
| LMArena Expert | 1502 | — |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), Qwen3 Coder Next: —
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual Not comparable
GPT-6.1 Sol: 54.3 (#46), Qwen3 Coder Next: —
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1477 | — |
| LMArena Russian | 1455 | — |
Instruction Following Not comparable
GPT-6.1 Sol: 77.0 (#29), Qwen3 Coder Next: —
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1468 | — |
Long Context Not comparable
GPT-6.1 Sol: 44.9 (#54), Qwen3 Coder Next: —
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1465 | — |
Writing & Preference Not comparable
GPT-6.1 Sol: 63.6 (#63), Qwen3 Coder Next: —
| Benchmark | GPT-6.1 Sol | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1447 | — |
| LMArena Creative Writing | 1432 | — |
| LMArena Multi-Turn | 1449 | — |
Frequently asked questions
Is GPT-6.1 Sol better than Qwen3 Coder Next?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 34.3 on the Noometry Index. Qwen3 Coder Next costs 14× 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 Coder Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Qwen3 Coder Next better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 36.3 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6.1 Sol and Qwen3 Coder Next share?
2 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Qwen3 Coder Next has 3.