Model comparison
GPT-5 Pro vs Qwen2.5 32B Instruct
GPT-5 Pro is the stronger model overall, scoring 46.4 to 30.1 on the Noometry Index. Qwen2.5 32B Instruct costs 34× 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 Qwen2.5 32B Instruct in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 Pro leads 48.5 to 16.2.
- Qwen2.5 32B Instruct is cheaper at $0.70 / $2.80 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 131K.
- Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.4 | 30.1 |
| Released | 2025-10-06 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 272K | 8K |
| Input $ / M tokens | $15 | $0.70 |
| Output $ / M tokens | $120 | $2.80 |
| Results tracked | 12 | 7 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | GPT-5 Pro | Qwen2.5 32B Instruct |
|---|---|---|
| WeirdML | 60.4% | — |
| BigCodeBench Instruct | — | 45% |
| BigCodeBench Complete | — | 52.3% |
| AlgoTune | 1.31 | — |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | GPT-5 Pro | Qwen2.5 32B Instruct |
|---|---|---|
| Epoch Capabilities Index | 150.28 | 128.52 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 18.8% | — |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | GPT-5 Pro | Qwen2.5 32B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| MATH Level 5 | — | 56.1% |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | GPT-5 Pro | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| Humanity's Last Exam | 31.6% | — |
Frequently asked questions
Is GPT-5 Pro better than Qwen2.5 32B Instruct?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 30.1 on the Noometry Index. Qwen2.5 32B Instruct costs 34× 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 Qwen2.5 32B Instruct?
Qwen2.5 32B Instruct is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Qwen2.5 32B Instruct better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 38.7 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 131K.
How many benchmarks do GPT-5 Pro and Qwen2.5 32B Instruct share?
1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen2.5 32B Instruct has 7.