Model comparison
GPT-5.2 Pro vs Qwen3.5 27B
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 41.4 on the Noometry Index. Qwen3.5 27B costs 70× less per token, which makes it the better buy when GPT-5.2 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-5.2 Pro scores higher in 2 categories and Qwen3.5 27B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 64.8 to 36.8.
- The biggest single-benchmark swing is NYT Connections (extended): 79.3% for GPT-5.2 Pro and 47.9% for Qwen3.5 27B.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 262K.
- Qwen3.5 27B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Qwen3.5 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 52.2 | 41.4 |
| Released | 2025-12-11 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $21 | $0.30 |
| Output $ / M tokens | $168 | $2.40 |
| Results tracked | 8 | 28 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Qwen3.5 27B: 38.6 (#159)
| Benchmark | GPT-5.2 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena WebDev | — | 1357 |
| WeirdML | — | 39.5% |
| LMArena Coding | — | 1427 |
| ALE-Bench | — | 349.45 |
Agentic & Tool Use Not comparable
GPT-5.2 Pro: —, Qwen3.5 27B: —
| Benchmark | GPT-5.2 Pro | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.8 (#31), Qwen3.5 27B: 26.6 (#116)
| Benchmark | GPT-5.2 Pro | Qwen3.5 27B |
|---|---|---|
| NYT Connections (extended) | 79.3% | 47.9% |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| ARC-AGI-1 | 90.5% | — |
| Thematic Generalization | — | 45.5% |
| LMArena Hard Prompts | — | 1414 |
| DTBench | — | 82.4% |
| LMCA | — | 34% |
| Epoch Capabilities Index | 155.41 | — |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 64.8 (#23), Qwen3.5 27B: 36.8 (#103)
| Benchmark | GPT-5.2 Pro | Qwen3.5 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| MathArena Final-Answer Competitions | — | 56.7% |
| LMArena Math | — | 1428 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Qwen3.5 27B: 37.4 (#149)
| Benchmark | GPT-5.2 Pro | Qwen3.5 27B |
|---|---|---|
| Vectara Hallucination Rate | — | 12.1% |
| LMArena Expert | — | 1428 |
Multimodal Not comparable
GPT-5.2 Pro: —, Qwen3.5 27B: 38.7 (#56)
| Benchmark | GPT-5.2 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1240 |
Multilingual Not comparable
GPT-5.2 Pro: —, Qwen3.5 27B: 51.0 (#112)
| Benchmark | GPT-5.2 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-5.2 Pro: —, Qwen3.5 27B: 73.7 (#114)
| Benchmark | GPT-5.2 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | — | 1393 |
Long Context Not comparable
GPT-5.2 Pro: —, Qwen3.5 27B: 43.1 (#103)
| Benchmark | GPT-5.2 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | — | 1413 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Qwen3.5 27B: 59.5 (#106)
| Benchmark | GPT-5.2 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Text | — | 1409 |
| LMArena Creative Writing | — | 1362 |
| LMArena Multi-Turn | — | 1410 |
Frequently asked questions
Is GPT-5.2 Pro better than Qwen3.5 27B?
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 41.4 on the Noometry Index. Qwen3.5 27B costs 70× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 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-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 262K.
How many benchmarks do GPT-5.2 Pro and Qwen3.5 27B share?
1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Qwen3.5 27B has 28.