Model comparison
GPT-5.1 vs Qwen3.7 Plus
GPT-5.1 is the stronger model overall, scoring 49.0 to 45.3 on the Noometry Index. Qwen3.7 Plus costs 4.9× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
Alibaba (Qwen)Summary
- They share 28 benchmarks with published results for both. GPT-5.1 scores higher in 8 categories and Qwen3.7 Plus in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.1 leads 32.7 to 21.4.
- The biggest single-benchmark swing is Chess Puzzles: 32% for GPT-5.1 and 24% for Qwen3.7 Plus.
- Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.25 / $10 for GPT-5.1.
- Qwen3.7 Plus accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5.1 | Qwen3.7 Plus | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 49.0 | 45.3 |
| Released | 2025-11-13 | 2026-06-02 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $0.40 |
| Output $ / M tokens | $10 | $1.60 |
| Results tracked | 63 | 32 |
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Category by category
Coding GPT-5.1 leads
GPT-5.1: 46.4 (#66), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| SciCode | 43.3% | 45.5% |
| LMArena Coding | 1454 | 1473 |
| SWE-bench Verified | 68% | — |
| FrontierCode | — | 10.2% |
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1395 | — |
| GSO | 13.7% | — |
| WeirdML | 60.8% | — |
| LiveBench Coding | 72.5% | — |
| ALE-Bench | 1,192 | — |
Agentic & Tool Use GPT-5.1 leads
GPT-5.1: 32.7 (#60), Qwen3.7 Plus: 21.4 (#138)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| Terminal-Bench | 47.6% | — |
| OSWorld 2.0 | — | 2.8% |
| DeepResearch Bench | 42.8% | — |
| LMArena Search | 1199 | — |
| Vending-Bench 2 | 1,473 | — |
Reasoning Too close to call
GPT-5.1: 39.8 (#58), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| CritPt | 4.9% | 9.1% |
| Chess Puzzles | 32% | 24% |
| LMArena Hard Prompts | 1457 | 1460 |
| Mystery Game Puzzles | 19% | 17% |
| DTBench | 90.1% | 84% |
| LMCA | 43.9% | 37.6% |
| Epoch Capabilities Index | 149.64 | 147.37 |
| ARC-AGI-2 | 17.6% | — |
| SimpleBench | 53.2% | — |
| NYT Connections (extended) | — | 74.8% |
| ARC-AGI-1 | 72.8% | — |
| EnigmaEval | 11.2% | — |
| LiveBench Reasoning | 95.8% | — |
| LiveBench Data Analysis | 72.1% | — |
| ForecastBench | 58.1 | — |
| LiveBench | 78.8% | — |
Math GPT-5.1 leads
GPT-5.1: 52.2 (#51), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.6% | 93.3% |
| LMArena Math | 1447 | 1466 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| Omni-MATH | 46.4% | — |
| LiveBench Math | 94.5% | — |
| FrontierMath (Feb 2025 set) | 31% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge Qwen3.7 Plus leads
GPT-5.1: 50.6 (#71), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 87.6% | 87.9% |
| LMArena Expert | 1470 | 1467 |
| Humanity's Last Exam | 23.7% | — |
| SimpleQA Verified | 48% | — |
| MMLU-Pro | 57.9% | — |
| Vectara Hallucination Rate | 10.9% | — |
| GPQA (HELM) | 44.2% | — |
Multimodal GPT-5.1 leads
GPT-5.1: 44.8 (#19), Qwen3.7 Plus: 41.8 (#33)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | 1250 | 1279 |
| LMArena Document | 1403 | 1444 |
| VPCT | 58.7% | — |
Multilingual Qwen3.7 Plus leads
GPT-5.1: 53.8 (#56), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1431 | 1445 |
| LMArena Chinese | 1495 | 1510 |
| LMArena French | 1450 | 1473 |
| LMArena German | 1438 | 1471 |
| LMArena Japanese | 1453 | 1413 |
| LMArena Korean | 1401 | 1415 |
| LMArena Russian | 1435 | 1457 |
| LMArena Spanish | 1433 | 1457 |
Instruction Following GPT-5.1 leads
GPT-5.1: 83.9 (#1), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1443 | 1440 |
| LiveBench Instruction Following | 93.3% | — |
| IFEval | 93.5% | — |
Long Context GPT-5.1 leads
GPT-5.1: 47.6 (#14), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1447 | 1455 |
| CL-bench | 23.7% | — |
| CL-bench Life | 17.3% | — |
Writing & Preference Too close to call
GPT-5.1: 64.5 (#55), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | GPT-5.1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1443 | 1455 |
| LMArena Creative Writing | 1427 | 1439 |
| LMArena Multi-Turn | 1450 | 1460 |
| WildBench | 86.3% | — |
| LiveBench Language | 80.2% | — |
Frequently asked questions
Is GPT-5.1 better than Qwen3.7 Plus?
GPT-5.1 is the stronger model overall, scoring 49.0 to 45.3 on the Noometry Index. Qwen3.7 Plus costs 4.9× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Which is cheaper, GPT-5.1 or Qwen3.7 Plus?
Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; GPT-5.1 lists at $1.25 and $10.
Is GPT-5.1 or Qwen3.7 Plus better for coding?
GPT-5.1 scores higher on coding benchmarks: 46.4 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Plus does, with 1M tokens against 400K.
How many benchmarks do GPT-5.1 and Qwen3.7 Plus share?
28 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and Qwen3.7 Plus has 32.