# Codestral vs Qwen3.8 Max

> Qwen3.8 Max is the stronger model overall, scoring 56.8 to 30.6 on the Noometry Index. Codestral costs 6.7× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/codestral-vs-qwen3-8-max
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Qwen3.8 Max leads 54.4 to 19.8.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $2 / $6 for Qwen3.8 Max.
- Qwen3.8 Max accepts more context: 1M tokens versus 256K.

## Snapshot

| | Codestral | Qwen3.8 Max |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.6 | 56.8 |
| Rank | 290 | 22 |
| Context | 256K | 1M |
| Input $/M | $0.30 | $2 |
| Output $/M | $0.90 | $6 |
| Weights | Proprietary | Proprietary |

## Coding

- Codestral: 27.3 (#321)
- Qwen3.8 Max: 53.5 (#29)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| DeepSWE | — | 57.5% |
| Aider Polyglot | 11.1% | — |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1502 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Agentic & Tool Use

- Codestral: —
- Qwen3.8 Max: 45.4 (#14)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |

## Reasoning

- Codestral: 19.8 (#251)
- Qwen3.8 Max: 54.4 (#26)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| LMArena Hard Prompts | — | 1496 |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| Epoch Capabilities Index | — | 156.41 |

## Math

- Codestral: —
- Qwen3.8 Max: 73.2 (#20)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
| LMArena Math | — | 1499 |

## Knowledge

- Codestral: —
- Qwen3.8 Max: 61.7 (#27)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
| LMArena Expert | — | 1507 |

## Multimodal

- Codestral: —
- Qwen3.8 Max: 37.2 (#75)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |

## Multilingual

- Codestral: —
- Qwen3.8 Max: 56.7 (#18)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | — | 1472 |
| LMArena Chinese | — | 1538 |
| LMArena French | — | 1503 |
| LMArena German | — | 1483 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |
| LMArena Russian | — | 1481 |
| LMArena Spanish | — | 1492 |

## Instruction Following

- Codestral: —
- Qwen3.8 Max: 77.6 (#17)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | — | 1479 |

## Long Context

- Codestral: —
- Qwen3.8 Max: 45.6 (#31)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | — | 1489 |

## Writing & Preference

- Codestral: —
- Qwen3.8 Max: 67.1 (#30)

| Benchmark | Codestral | Qwen3.8 Max |
|---|---|---|
| LMArena Text | — | 1483 |
| LMArena Creative Writing | — | 1479 |
| LMArena Multi-Turn | — | 1489 |

## FAQ

### Is Codestral better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 30.6 on the Noometry Index. Codestral costs 6.7× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

### Which is cheaper, Codestral or Qwen3.8 Max?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Qwen3.8 Max lists at $2 and $6.

### Is Codestral or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 27.3 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.8 Max does, with 1M tokens against 256K.

### How many benchmarks do Codestral and Qwen3.8 Max share?

0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Qwen3.8 Max has 39.