Model comparison
GPT-5 Pro vs Qwen2.5 7B Instruct
GPT-5 Pro is the stronger model overall, scoring 46.4 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 135× 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 7B Instruct in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 17.0.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 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 Pro | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.4 | 29.0 |
| Released | 2025-10-06 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 272K | 8K |
| Input $ / M tokens | $15 | $0.17 |
| Output $ / M tokens | $120 | $0.70 |
| Results tracked | 12 | 15 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| WeirdML | 60.4% | — |
| BigCodeBench Instruct | — | 37.6% |
| BigCodeBench Complete | — | 46.1% |
| AlgoTune | 1.31 | — |
Agentic & Tool Use Not comparable
GPT-5 Pro: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 150.28 | 118.51 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 18.8% | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| Humanity's Last Exam | 31.6% | — |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| MMLU | — | 72.9% |
Instruction Following Not comparable
GPT-5 Pro: —, Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
Writing & Preference Not comparable
GPT-5 Pro: —, Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | — | 73.1% |
Frequently asked questions
Is GPT-5 Pro better than Qwen2.5 7B Instruct?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 135× 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 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 Pro lists at $15 and $120.
Is GPT-5 Pro or Qwen2.5 7B Instruct better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 36.5 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 7B Instruct share?
1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen2.5 7B Instruct has 15.