Model comparison
GPT-5.5 Pro vs Qwen2.5 7B Instruct
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 220× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Alibaba (Qwen)Summary
- They share 6 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Qwen2.5 7B Instruct in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 12.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-5.5 Pro and 2.5% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.3 | 29.0 |
| Released | 2026-04-23 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $30 | $0.17 |
| Output $ / M tokens | $180 | $0.70 |
| Results tracked | 14 | 15 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | GPT-5.5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
GPT-5.5 Pro: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | GPT-5.5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | GPT-5.5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | 64% | 0% |
| DTBench | 96% | 47.7% |
| LMCA | 53.9% | 6.4% |
| Epoch Capabilities Index | 162.07 | 118.51 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | GPT-5.5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 2.5% |
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| Omni-MATH | — | 29.4% |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | GPT-5.5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 93.9% | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| MMLU | — | 72.9% |
Instruction Following Not comparable
GPT-5.5 Pro: —, Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | GPT-5.5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | GPT-5.5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | — | 73.1% |
Frequently asked questions
Is GPT-5.5 Pro better than Qwen2.5 7B Instruct?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 220× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 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-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 131K.
How many benchmarks do GPT-5.5 Pro and Qwen2.5 7B Instruct share?
6 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen2.5 7B Instruct has 15.