# Qwen2.5 7B Instruct vs Qwen3.7 Flash

> Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 29.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen2-5-7b-instruct-vs-qwen3-7-flash
- Last updated: 2026-10-12
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Qwen2.5 7B Instruct scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 17.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.5% for Qwen2.5 7B Instruct and 86.7% for Qwen3.7 Flash.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.17 / $0.70 for Qwen2.5 7B Instruct.
- Qwen3.7 Flash accepts more context: 1M tokens versus 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Qwen2.5 7B Instruct | Qwen3.7 Flash |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 29.0 | 39.9 |
| Rank | 320 | 156 |
| Context | 131K | 1M |
| Input $/M | $0.17 | $0.03 |
| Output $/M | $0.70 | $0.13 |
| Weights | Open | Proprietary |

## Coding

- Qwen2.5 7B Instruct: 36.5 (#208)
- Qwen3.7 Flash: —

| Benchmark | Qwen2.5 7B Instruct | Qwen3.7 Flash |
|---|---|---|
| BigCodeBench Instruct | 37.6% | — |
| BigCodeBench Complete | 46.1% | — |

## Agentic & Tool Use

- Qwen2.5 7B Instruct: 23.8 (#124)
- Qwen3.7 Flash: —

| Benchmark | Qwen2.5 7B Instruct | Qwen3.7 Flash |
|---|---|---|
| BALROG | 7.8% | — |

## Reasoning

- Qwen2.5 7B Instruct: 14.8 (#322)
- Qwen3.7 Flash: 28.2 (#108)

| Benchmark | Qwen2.5 7B Instruct | Qwen3.7 Flash |
|---|---|---|
| Chess Puzzles | 0% | 23% |
| Epoch Capabilities Index | 118.51 | 144.64 |
| NYT Connections (extended) | — | 43.8% |
| Mystery Game Puzzles | — | 15% |
| DTBench | 47.7% | — |
| LMCA | 6.4% | — |

## Math

- Qwen2.5 7B Instruct: 12.6 (#306)
- Qwen3.7 Flash: 38.3 (#140)

| Benchmark | Qwen2.5 7B Instruct | Qwen3.7 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 19.3% |
| Omni-MATH | 29.4% | — |

## Knowledge

- Qwen2.5 7B Instruct: 17.0 (#286)
- Qwen3.7 Flash: 48.9 (#75)

| Benchmark | Qwen2.5 7B Instruct | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 35.5% | 82.3% |
| MMLU-Pro | 53.9% | — |
| GPQA (HELM) | 34.1% | — |
| MMLU | 72.9% | — |

## Instruction Following

- Qwen2.5 7B Instruct: 63.2 (#231)
- Qwen3.7 Flash: —

| Benchmark | Qwen2.5 7B Instruct | Qwen3.7 Flash |
|---|---|---|
| IFEval | 74.1% | — |

## Writing & Preference

- Qwen2.5 7B Instruct: 48.8 (#195)
- Qwen3.7 Flash: —

| Benchmark | Qwen2.5 7B Instruct | Qwen3.7 Flash |
|---|---|---|
| WildBench | 73.1% | — |

## FAQ

### Is Qwen2.5 7B Instruct better than Qwen3.7 Flash?

Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 29.0 on the Noometry Index.

### Which is cheaper, Qwen2.5 7B Instruct or Qwen3.7 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Qwen2.5 7B Instruct lists at $0.17 and $0.70.

### Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 131K.

### How many benchmarks do Qwen2.5 7B Instruct and Qwen3.7 Flash share?

4 benchmarks have published results for both models. Qwen2.5 7B Instruct has 15 scored results on Noometry and Qwen3.7 Flash has 7.