# 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.

- Canonical page: https://noometry.com/compare/gpt-5-pro-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 1

## 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.

## Snapshot

| | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.4 | 29.0 |
| Rank | 64 | 320 |
| Context | 400K | 131K |
| Input $/M | $15 | $0.17 |
| Output $/M | $120 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- 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

- 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: 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: 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: 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

- GPT-5 Pro: —
- Qwen2.5 7B Instruct: 63.2 (#231)

| Benchmark | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |

## Writing & Preference

- GPT-5 Pro: —
- Qwen2.5 7B Instruct: 48.8 (#195)

| Benchmark | GPT-5 Pro | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | — | 73.1% |

## FAQ

### 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.