# Mistral Nemo vs Qwen3.8 Max

> Qwen3.8 Max is the stronger model overall, scoring 56.0 to 25.9 on the Noometry Index. Mistral Nemo costs 20× 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/mistral-nemo-vs-qwen3-8-max
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Mistral Nemo scores higher in 0 categories and Qwen3.8 Max in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.1 to 23.5.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 92.7% for Qwen3.8 Max.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $2 / $6 for Qwen3.8 Max.
- Qwen3.8 Max accepts more context: 1M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 25.9 | 56.0 |
| Rank | 332 | 21 |
| Context | 128K | 1M |
| Input $/M | $0.15 | $2 |
| Output $/M | $0.15 | $6 |
| Weights | Open | Proprietary |

## Coding

- Mistral Nemo: —
- Qwen3.8 Max: 52.3 (#30)

| Benchmark | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1671 |
| FrontierSWE | — | 15.8% |
| SciCode | — | 52.9% |
| LMArena Coding | — | 1499 |

## Agentic & Tool Use

- Mistral Nemo: 23.3 (#118)
- Qwen3.8 Max: 42.6 (#17)

| Benchmark | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| τ²-bench Banking | — | 55.1% |
| BALROG | 17.6% | — |
| GDP.pdf | — | 23.2% |

## Reasoning

- Mistral Nemo: 19.9 (#230)
- Qwen3.8 Max: 53.4 (#26)

| Benchmark | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| DTBench | 48.6% | 92% |
| Epoch Capabilities Index | 118.63 | 156.69 |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| LMArena Hard Prompts | — | 1493 |
| Mystery Game Puzzles | — | 38% |
| LMCA | — | 46.2% |
| PIQA | 83.5% | — |

## Math

- Mistral Nemo: 23.5 (#263)
- Qwen3.8 Max: 73.1 (#15)

| Benchmark | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
| LMArena Math | — | 1498 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |

## Knowledge

- Mistral Nemo: 12.3 (#293)
- Qwen3.8 Max: 61.7 (#25)

| Benchmark | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | 29.9% | 92.7% |
| SimpleQA Verified | — | 47.3% |
| LMArena Expert | — | 1504 |
| BoolQ | 82.5% | — |

## Multimodal

- Mistral Nemo: —
- Qwen3.8 Max: 36.9 (#70)

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

## Multilingual

- Mistral Nemo: —
- Qwen3.8 Max: 56.6 (#18)

| Benchmark | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | — | 1468 |
| LMArena Chinese | — | 1537 |
| LMArena French | — | 1502 |
| LMArena German | — | 1489 |
| LMArena Japanese | — | 1466 |
| LMArena Korean | — | 1467 |
| LMArena Russian | — | 1478 |
| LMArena Spanish | — | 1495 |

## Instruction Following

- Mistral Nemo: —
- Qwen3.8 Max: 77.7 (#19)

| Benchmark | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | — | 1478 |

## Long Context

- Mistral Nemo: —
- Qwen3.8 Max: 45.5 (#30)

| Benchmark | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | — | 1486 |

## Writing & Preference

- Mistral Nemo: 28.6 (#291)
- Qwen3.8 Max: 67.0 (#31)

| Benchmark | Mistral Nemo | Qwen3.8 Max |
|---|---|---|
| LMArena Text | — | 1480 |
| LMArena Creative Writing | — | 1478 |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1487 |

## FAQ

### Is Mistral Nemo better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.0 to 25.9 on the Noometry Index. Mistral Nemo costs 20× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

### Which is cheaper, Mistral Nemo or Qwen3.8 Max?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3.8 Max lists at $2 and $6.

### Which has the bigger context window?

Qwen3.8 Max does, with 1M tokens against 128K.

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

3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3.8 Max has 38.