Model comparison
GPT-5 Pro vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 46.4 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. GPT-5 Pro scores higher in 3 categories and Qwen3.6 Plus in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 38.9 to 29.3.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 55.8% for GPT-5 Pro and 38.2% for Qwen3.6 Plus.
- Qwen3.6 Plus is cheaper at $0.50 / $3 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- Qwen3.6 Plus accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5 Pro | Qwen3.6 Plus | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.4 | 47.5 |
| Released | 2025-10-06 | 2026-03-31 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 272K | 66K |
| Input $ / M tokens | $15 | $0.50 |
| Output $ / M tokens | $120 | $3 |
| Results tracked | 12 | 37 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | GPT-5 Pro | Qwen3.6 Plus |
|---|---|---|
| SWE-bench Verified | — | 57.9% |
| LMArena WebDev | — | 1461 |
| SciCode | — | 40.7% |
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1467 |
| ALE-Bench | — | 670.15 |
| AlgoTune | 1.31 | — |
Agentic & Tool Use Not comparable
GPT-5 Pro: —, Qwen3.6 Plus: —
| Benchmark | GPT-5 Pro | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | GPT-5 Pro | Qwen3.6 Plus |
|---|---|---|
| Epoch Capabilities Index | 150.28 | 147.65 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| NYT Connections (extended) | — | 60.3% |
| ARC-AGI-1 | 70.2% | — |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 17% |
| EnigmaEval | 18.8% | — |
| Thematic Generalization | — | 59.5% |
| LMArena Hard Prompts | — | 1449 |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 81.9% |
| LMCA | — | 33.1% |
Math Qwen3.6 Plus leads
GPT-5 Pro: 48.5 (#63), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | GPT-5 Pro | Qwen3.6 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | 38.2% |
| FrontierMath Tier 4 (v1) | 14.6% | 8.3% |
| FrontierMath Tier 4 | 19.5% | — |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| LMArena Math | — | 1450 |
| FrontierMath (Feb 2025 set) | — | 26.2% |
Knowledge Too close to call
GPT-5 Pro: 56.7 (#42), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | GPT-5 Pro | Qwen3.6 Plus |
|---|---|---|
| GPQA Diamond | — | 88.4% |
| Humanity's Last Exam | 31.6% | — |
| SimpleQA Verified | — | 44.1% |
| LMArena Expert | — | 1454 |
Multilingual Not comparable
GPT-5 Pro: —, Qwen3.6 Plus: 53.3 (#70)
| Benchmark | GPT-5 Pro | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | — | 1424 |
| LMArena Chinese | — | 1477 |
| LMArena French | — | 1455 |
| LMArena German | — | 1452 |
| LMArena Japanese | — | 1389 |
| LMArena Korean | — | 1379 |
| LMArena Russian | — | 1434 |
| LMArena Spanish | — | 1432 |
Instruction Following Not comparable
GPT-5 Pro: —, Qwen3.6 Plus: 75.0 (#74)
| Benchmark | GPT-5 Pro | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | — | 1425 |
Long Context Not comparable
GPT-5 Pro: —, Qwen3.6 Plus: 45.2 (#49)
| Benchmark | GPT-5 Pro | Qwen3.6 Plus |
|---|---|---|
| CL-bench | — | 20.3% |
| LMArena Longer Query | — | 1439 |
Writing & Preference Not comparable
GPT-5 Pro: —, Qwen3.6 Plus: 62.2 (#82)
| Benchmark | GPT-5 Pro | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | — | 1437 |
| LMArena Creative Writing | — | 1404 |
| LMArena Multi-Turn | — | 1438 |
Frequently asked questions
Is GPT-5 Pro better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 46.4 on the Noometry Index.
Which is cheaper, GPT-5 Pro 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-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Qwen3.6 Plus better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 Plus does, with 1M tokens against 400K.
How many benchmarks do GPT-5 Pro and Qwen3.6 Plus share?
3 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen3.6 Plus has 37.