Model comparison
GPT-5 Pro vs Qwen3.5 27B
GPT-5 Pro is the stronger model overall, scoring 46.2 to 41.4 on the Noometry Index. Qwen3.5 27B costs 50× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Qwen3.5 27B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.2 to 37.4.
- The biggest single-benchmark swing is WeirdML: 60.4% for GPT-5 Pro and 39.5% for Qwen3.5 27B.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 262K.
- Qwen3.5 27B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Qwen3.5 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.2 | 41.4 |
| Released | 2025-10-06 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 272K | 66K |
| Input $ / M tokens | $15 | $0.30 |
| Output $ / M tokens | $120 | $2.40 |
| Results tracked | 12 | 28 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 43.4 (#77), Qwen3.5 27B: 38.6 (#159)
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| WeirdML | 60.4% | 39.5% |
| LMArena WebDev | — | 1357 |
| LMArena Coding | — | 1427 |
| ALE-Bench | — | 349.45 |
| AlgoTune | 1.31 | — |
Agentic & Tool Use Not comparable
GPT-5 Pro: —, Qwen3.5 27B: —
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 39.2 (#52), Qwen3.5 27B: 26.6 (#116)
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| NYT Connections (extended) | — | 47.9% |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| Thematic Generalization | — | 45.5% |
| LMArena Hard Prompts | — | 1414 |
| DTBench | — | 82.4% |
| LMCA | — | 34% |
| Epoch Capabilities Index | 150.26 | — |
Math GPT-5 Pro leads
GPT-5 Pro: 48.0 (#53), Qwen3.5 27B: 36.8 (#103)
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| MathArena Final-Answer Competitions | — | 56.7% |
| LMArena Math | — | 1428 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.2 (#39), Qwen3.5 27B: 37.4 (#149)
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| Vectara Hallucination Rate | — | 12.1% |
| LMArena Expert | — | 1428 |
Multimodal Not comparable
GPT-5 Pro: —, Qwen3.5 27B: 38.7 (#56)
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1240 |
Multilingual Not comparable
GPT-5 Pro: —, Qwen3.5 27B: 51.0 (#112)
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | — | 1390 |
| LMArena Chinese | — | 1478 |
| LMArena French | — | 1409 |
| LMArena German | — | 1393 |
| LMArena Japanese | — | 1345 |
| LMArena Korean | — | 1359 |
| LMArena Russian | — | 1389 |
| LMArena Spanish | — | 1408 |
Instruction Following Not comparable
GPT-5 Pro: —, Qwen3.5 27B: 73.7 (#114)
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | — | 1393 |
Long Context Not comparable
GPT-5 Pro: —, Qwen3.5 27B: 43.1 (#103)
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | — | 1413 |
Writing & Preference Not comparable
GPT-5 Pro: —, Qwen3.5 27B: 59.5 (#106)
| Benchmark | GPT-5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Text | — | 1409 |
| LMArena Creative Writing | — | 1362 |
| LMArena Multi-Turn | — | 1410 |
Frequently asked questions
Is GPT-5 Pro better than Qwen3.5 27B?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 41.4 on the Noometry Index. Qwen3.5 27B costs 50× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5 Pro or Qwen3.5 27B?
Qwen3.5 27B is cheaper. It lists at $0.30 per million input tokens and $2.40 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Qwen3.5 27B better for coding?
GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 38.6 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 262K.
How many benchmarks do GPT-5 Pro and Qwen3.5 27B share?
1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen3.5 27B has 28.