Model comparison
GPT-5 vs Qwen3.6 Max Preview
GPT-5 and Qwen3.6 Max Preview score almost the same on the Noometry Index (50.9 vs 51.5), so choose on price, context window or the category you care about most.
Last verified . 27 shared benchmarks.
Alibaba (Qwen)Summary
- They share 27 benchmarks with published results for both. GPT-5 scores higher in 3 categories and Qwen3.6 Max Preview in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5 leads 69.5 to 44.6.
- The biggest single-benchmark swing is Chess Puzzles: 37% for GPT-5 and 20% for Qwen3.6 Max Preview.
- Qwen3.6 Max Preview is cheaper at $1.30 / $7.80 per million input/output tokens, against $1.25 / $10 for GPT-5.
- GPT-5 accepts more context: 400K tokens versus 262K.
Side by side
| GPT-5 | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 50.9 | 51.5 |
| Released | 2025-08-07 | 2026-04-20 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $1.25 | $1.30 |
| Output $ / M tokens | $10 | $7.80 |
| Results tracked | 69 | 29 |
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Category by category
Coding GPT-5 leads
GPT-5: 50.3 (#47), Qwen3.6 Max Preview: 48.7 (#54)
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| SWE-bench Verified | 73.6% | 76.7% |
| LMArena WebDev | 1418 | 1482 |
| LMArena Coding | 1436 | 1471 |
| SWE-bench Verified (bash only) | 65% | — |
| Aider Polyglot | 88% | — |
| SciCode | 42.9% | — |
| GSO | 6.9% | — |
| WeirdML | 60.7% | — |
| ALE-Bench | 1,162 | — |
| AlgoTune | 1.67 | — |
Agentic & Tool Use Not comparable
GPT-5: 33.1 (#56), Qwen3.6 Max Preview: —
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| Terminal-Bench | 49.6% | — |
| GDPval | 34.8% | — |
| Remote Labor Index | 1.7% | — |
| DeepResearch Bench | 49.6% | — |
| BALROG | 32.8% | — |
| LMArena Search | 1133 | — |
| METR Time Horizons | 69.6% | — |
| Vending-Bench 2 | — | 4,254 |
Reasoning Qwen3.6 Max Preview leads
GPT-5: 38.3 (#64), Qwen3.6 Max Preview: 41.7 (#53)
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| SimpleBench | 56.7% | 63% |
| Chess Puzzles | 37% | 20% |
| LMArena Hard Prompts | 1416 | 1457 |
| Mystery Game Puzzles | 23% | 19% |
| DTBench | 90.7% | 87.2% |
| LMCA | 40% | 42.5% |
| Epoch Capabilities Index | 150 | 149.24 |
| ARC-AGI-2 | 9.9% | — |
| Kagi LLM Benchmark | 72.7% | — |
| NYT Connections (extended) | — | 74.1% |
| ARC-AGI-1 | 65.7% | — |
| CritPt | 12.6% | — |
| EnigmaEval | 10.5% | — |
| EBR-Bench | 12.7% | — |
| ForecastBench | 61.4 | — |
Math Too close to call
GPT-5: 55.0 (#44), Qwen3.6 Max Preview: 54.1 (#46)
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.4% | 91.1% |
| LMArena Math | 1407 | 1465 |
| FrontierMath (Feb 2025 set) | 32.4% | 23.1% |
| FrontierMath Tier 4 (v1) | 12.5% | 4.2% |
| FrontierMath (Tiers 1-3) | 55.4% | — |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 18% | — |
| Omni-MATH | 64.7% | — |
| MATH Level 5 | 98.1% | — |
Knowledge Qwen3.6 Max Preview leads
GPT-5: 56.6 (#43), Qwen3.6 Max Preview: 57.6 (#39)
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| GPQA Diamond | 86.2% | 87.4% |
| SimpleQA Verified | 50.1% | 52% |
| LMArena Expert | 1419 | 1478 |
| Humanity's Last Exam | 25.3% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.3% | — |
| Vectara Hallucination Rate | 14.7% | — |
| GPQA (HELM) | 79.2% | — |
Multimodal Not comparable
GPT-5: 46.8 (#13), Qwen3.6 Max Preview: —
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Vision | 1232 | — |
| GeoBench | 81% | — |
| VPCT | 66% | — |
Multilingual Qwen3.6 Max Preview leads
GPT-5: 51.4 (#110), Qwen3.6 Max Preview: 54.2 (#48)
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | 1397 | 1437 |
| LMArena Chinese | 1422 | 1487 |
| LMArena French | 1410 | 1449 |
| LMArena Russian | 1406 | 1445 |
| LMArena Spanish | 1399 | 1454 |
| LMArena German | 1416 | — |
| LMArena Japanese | 1409 | — |
| LMArena Korean | 1360 | — |
Instruction Following Qwen3.6 Max Preview leads
GPT-5: 73.8 (#113), Qwen3.6 Max Preview: 75.7 (#55)
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1388 | 1438 |
| IFEval | 87.5% | — |
Long Context GPT-5 leads
GPT-5: 69.5 (#2), Qwen3.6 Max Preview: 44.6 (#61)
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | 1399 | 1457 |
| Fiction.LiveBench | 97.2% | — |
Writing & Preference Too close to call
GPT-5: 63.4 (#65), Qwen3.6 Max Preview: 63.8 (#60)
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | 1406 | 1447 |
| LMArena Creative Writing | 1365 | 1435 |
| LMArena Multi-Turn | 1426 | 1456 |
| Short-Story Creative Writing | 86% | — |
| EQ-Bench Creative Writing | 1627 | — |
| WildBench | 85.7% | — |
Frequently asked questions
Is GPT-5 better than Qwen3.6 Max Preview?
GPT-5 and Qwen3.6 Max Preview score almost the same on the Noometry Index (50.9 vs 51.5), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5 or Qwen3.6 Max Preview?
Qwen3.6 Max Preview is cheaper. It lists at $1.30 per million input tokens and $7.80 per million output tokens; GPT-5 lists at $1.25 and $10.
Is GPT-5 or Qwen3.6 Max Preview better for coding?
GPT-5 scores higher on coding benchmarks: 50.3 versus 48.7 in the Noometry coding category.
Which has the bigger context window?
GPT-5 does, with 400K tokens against 262K.
How many benchmarks do GPT-5 and Qwen3.6 Max Preview share?
27 benchmarks have published results for both models. GPT-5 has 69 scored results on Noometry and Qwen3.6 Max Preview has 29.