Model comparison
GPT-5.2 Pro vs Qwen2.5 7B Instruct
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 189× 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 Qwen2.5 7B Instruct 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 11.8.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 52.2 | 28.6 |
| Released | 2025-12-11 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $21 | $0.17 |
| Output $ / M tokens | $168 | $0.70 |
| Results tracked | 8 | 15 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Qwen2.5 7B Instruct: 35.9 (#204)
| Benchmark | GPT-5.2 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
GPT-5.2 Pro: —, Qwen2.5 7B Instruct: 23.5 (#117)
| Benchmark | GPT-5.2 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.8 (#31), Qwen2.5 7B Instruct: 14.3 (#317)
| Benchmark | GPT-5.2 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 155.41 | 118.44 |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 64.8 (#23), Qwen2.5 7B Instruct: 11.8 (#300)
| Benchmark | GPT-5.2 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Qwen2.5 7B Instruct: 17.0 (#281)
| Benchmark | GPT-5.2 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| MMLU | — | 72.9% |
Instruction Following Not comparable
GPT-5.2 Pro: —, Qwen2.5 7B Instruct: 63.4 (#226)
| Benchmark | GPT-5.2 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Qwen2.5 7B Instruct: 48.8 (#194)
| Benchmark | GPT-5.2 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | — | 73.1% |
Frequently asked questions
Is GPT-5.2 Pro better than Qwen2.5 7B Instruct?
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 189× 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 Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 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 131K.
How many benchmarks do GPT-5.2 Pro and Qwen2.5 7B Instruct share?
1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Qwen2.5 7B Instruct has 15.