Model comparison
GPT-5.2 Pro vs Qwen2-72B
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 30.0 on the Noometry Index.
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 Qwen2-72B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 30.2.
- Qwen2-72B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Qwen2-72B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 52.3 | 30.0 |
| Released | 2025-12-11 | 2024-06-07 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $21 | — |
| Output $ / M tokens | $168 | — |
| Results tracked | 8 | 26 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Qwen2-72B: 29.1 (#310)
| Benchmark | GPT-5.2 Pro | Qwen2-72B |
|---|---|---|
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| LMArena Coding | — | 1196 |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use Not comparable
GPT-5.2 Pro: —, Qwen2-72B: 17.0 (#146)
| Benchmark | GPT-5.2 Pro | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Qwen2-72B: 23.2 (#181)
| Benchmark | GPT-5.2 Pro | Qwen2-72B |
|---|---|---|
| Epoch Capabilities Index | 155.4 | 125.28 |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| LMArena Hard Prompts | — | 1191 |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), Qwen2-72B: 30.2 (#236)
| Benchmark | GPT-5.2 Pro | Qwen2-72B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| LMArena Math | — | 1235 |
| MATH Level 5 | — | 39.1% |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Qwen2-72B: 21.2 (#275)
| Benchmark | GPT-5.2 Pro | Qwen2-72B |
|---|---|---|
| GPQA Diamond | — | 40.8% |
| LMArena Expert | — | 1171 |
| MMLU | — | 82.4% |
Multilingual Not comparable
GPT-5.2 Pro: —, Qwen2-72B: 35.9 (#244)
| Benchmark | GPT-5.2 Pro | Qwen2-72B |
|---|---|---|
| LMArena Non-English | — | 1176 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1170 |
| LMArena German | — | 1151 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1083 |
| LMArena Russian | — | 1169 |
| LMArena Spanish | — | 1169 |
Instruction Following Not comparable
GPT-5.2 Pro: —, Qwen2-72B: 61.7 (#241)
| Benchmark | GPT-5.2 Pro | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | — | 1181 |
Long Context Not comparable
GPT-5.2 Pro: —, Qwen2-72B: 36.1 (#235)
| Benchmark | GPT-5.2 Pro | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | — | 1192 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Qwen2-72B: 40.8 (#241)
| Benchmark | GPT-5.2 Pro | Qwen2-72B |
|---|---|---|
| LMArena Text | — | 1203 |
| LMArena Creative Writing | — | 1181 |
| LMArena Multi-Turn | — | 1196 |
Frequently asked questions
Is GPT-5.2 Pro better than Qwen2-72B?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 30.0 on the Noometry Index.
How many benchmarks do GPT-5.2 Pro and Qwen2-72B share?
1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Qwen2-72B has 26.