# DeepSeek-V3.1 vs Magistral Medium

> DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 35.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-magistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Magistral Medium in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1 leads 27.9 to 8.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 53.2% for DeepSeek-V3.1 and 16.2% for Magistral Medium.
- DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $2 / $5 for Magistral Medium.
- Magistral Medium accepts more context: 262K tokens versus 164K.

## Snapshot

| | DeepSeek-V3.1 | Magistral Medium |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 42.8 | 35.2 |
| Rank | 108 | 227 |
| Context | 164K | 262K |
| Input $/M | $0.25 | $2 |
| Output $/M | $0.95 | $5 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Magistral Medium: 39.1 (#161)

| Benchmark | DeepSeek-V3.1 | Magistral Medium |
|---|---|---|
| LMArena Coding | 1417 | 1319 |
| SciCode | — | 39.2% |
| WeirdML | 38.4% | — |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Magistral Medium: 8.6 (#348)

| Benchmark | DeepSeek-V3.1 | Magistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | 16.2% |
| LMArena Hard Prompts | 1417 | 1267 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | 40% | — |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Magistral Medium: 35.1 (#189)

| Benchmark | DeepSeek-V3.1 | Magistral Medium |
|---|---|---|
| LMArena Math | 1420 | 1250 |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Magistral Medium: 33.5 (#202)

| Benchmark | DeepSeek-V3.1 | Magistral Medium |
|---|---|---|
| LMArena Expert | 1405 | 1223 |
| Vectara Hallucination Rate | 5.5% | — |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Magistral Medium: 39.6 (#224)

| Benchmark | DeepSeek-V3.1 | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1400 | 1232 |
| LMArena Chinese | 1469 | 1227 |
| LMArena French | 1447 | 1267 |
| LMArena German | 1411 | 1248 |
| LMArena Japanese | 1378 | 1175 |
| LMArena Korean | 1337 | 1125 |
| LMArena Russian | 1405 | 1224 |
| LMArena Spanish | 1431 | 1271 |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Magistral Medium: 66.0 (#211)

| Benchmark | DeepSeek-V3.1 | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1400 | 1254 |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Magistral Medium: 39.3 (#183)

| Benchmark | DeepSeek-V3.1 | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1422 | 1295 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Magistral Medium: 46.3 (#219)

| Benchmark | DeepSeek-V3.1 | Magistral Medium |
|---|---|---|
| LMArena Text | 1420 | 1255 |
| LMArena Creative Writing | 1401 | 1245 |
| LMArena Multi-Turn | 1408 | 1275 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than Magistral Medium?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 35.2 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.1 or Magistral Medium?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Magistral Medium lists at $2 and $5.

### Is DeepSeek-V3.1 or Magistral Medium better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 39.1 in the Noometry coding category.

### Which has the bigger context window?

Magistral Medium does, with 262K tokens against 164K.

### How many benchmarks do DeepSeek-V3.1 and Magistral Medium share?

18 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Magistral Medium has 22.