# Codestral vs Qwen3.7 Flash

> Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 30.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codestral-vs-qwen3-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Qwen3.7 Flash leads 27.3 to 19.1.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.30 / $0.90 for Codestral.
- Qwen3.7 Flash accepts more context: 1M tokens versus 256K.
- Codestral has downloadable open weights; the other is API-only.

## Snapshot

| | Codestral | Qwen3.7 Flash |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.1 | 39.5 |
| Rank | 287 | 152 |
| Context | 256K | 1M |
| Input $/M | $0.30 | $0.03 |
| Output $/M | $0.90 | $0.13 |
| Weights | Open | Proprietary |

## Coding

- Codestral: 26.9 (#316)
- Qwen3.7 Flash: —

| Benchmark | Codestral | Qwen3.7 Flash |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Reasoning

- Codestral: 19.1 (#244)
- Qwen3.7 Flash: 27.3 (#108)

| Benchmark | Codestral | Qwen3.7 Flash |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.62 |

## Math

- Codestral: —
- Qwen3.7 Flash: 37.3 (#100)

| Benchmark | Codestral | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |

## Knowledge

- Codestral: —
- Qwen3.7 Flash: 48.9 (#69)

| Benchmark | Codestral | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |

## FAQ

### Is Codestral better than Qwen3.7 Flash?

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 30.1 on the Noometry Index.

### Which is cheaper, Codestral 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; Codestral lists at $0.30 and $0.90.

### Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 256K.

### How many benchmarks do Codestral and Qwen3.7 Flash share?

0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Qwen3.7 Flash has 7.