# Mistral Small 3.1 vs Muse Spark 1.3

> Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 5.0× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-small-3-1-vs-muse-spark-1-3
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Mistral Small 3.1 scores higher in 0 categories and Muse Spark 1.3 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 72.4 to 13.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 3.9% for Mistral Small 3.1 and 99.2% for Muse Spark 1.3.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
- Muse Spark 1.3 accepts more context: 1.05M tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 31.4 | 54.4 |
| Rank | 263 | 27 |
| Context | 128K | 1.05M |
| Input $/M | $0.35 | $1.25 |
| Output $/M | $0.56 | $4.25 |
| Weights | Open | Proprietary |

## Coding

- Mistral Small 3.1: 37.7 (#175)
- Muse Spark 1.3: 56.1 (#18)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1309 | 1516 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1655 |
| SciCode | — | 59.7% |

## Agentic & Tool Use

- Mistral Small 3.1: —
- Muse Spark 1.3: 38.6 (#28)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |

## Reasoning

- Mistral Small 3.1: 18.9 (#249)
- Muse Spark 1.3: 52.9 (#27)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| Chess Puzzles | 1% | 38% |
| LMArena Hard Prompts | 1278 | 1503 |
| Epoch Capabilities Index | 127.48 | 156.89 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 24.9% |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |

## Math

- Mistral Small 3.1: 13.7 (#295)
- Muse Spark 1.3: 72.4 (#16)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.9% | 99.2% |
| LMArena Math | 1261 | 1497 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| Omni-MATH | 24.8% | — |

## Knowledge

- Mistral Small 3.1: 22.6 (#266)
- Muse Spark 1.3: 42.0 (#92)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1258 | 1516 |
| GPQA Diamond | 41.9% | — |
| MMLU-Pro | 61% | — |
| GPQA (HELM) | 39.2% | — |

## Multimodal

- Mistral Small 3.1: 32.6 (#93)
- Muse Spark 1.3: 43.0 (#21)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | 1136 | 1310 |
| LMArena Document | — | 1471 |

## Multilingual

- Mistral Small 3.1: 41.4 (#204)
- Muse Spark 1.3: 57.8 (#6)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1255 | 1485 |
| LMArena Chinese | 1254 | 1527 |
| LMArena French | 1270 | 1534 |
| LMArena Korean | 1206 | 1513 |
| LMArena Russian | 1263 | 1491 |
| LMArena Spanish | 1283 | 1485 |
| LMArena German | 1266 | — |
| LMArena Japanese | 1210 | — |

## Instruction Following

- Mistral Small 3.1: 63.8 (#225)
- Muse Spark 1.3: 77.8 (#14)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1264 | 1481 |
| IFEval | 75% | — |

## Long Context

- Mistral Small 3.1: 39.5 (#172)
- Muse Spark 1.3: 45.7 (#29)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1300 | 1491 |

## Writing & Preference

- Mistral Small 3.1: 37.2 (#254)
- Muse Spark 1.3: 73.7 (#10)

| Benchmark | Mistral Small 3.1 | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1278 | 1490 |
| LMArena Creative Writing | 1253 | 1450 |
| EQ-Bench Creative Writing | 761 | 1906 |
| LMArena Multi-Turn | 1270 | 1486 |
| WildBench | 78.8% | — |

## FAQ

### Is Mistral Small 3.1 better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 5.0× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.

### Which is cheaper, Mistral Small 3.1 or Muse Spark 1.3?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.

### Is Mistral Small 3.1 or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 128K.

### How many benchmarks do Mistral Small 3.1 and Muse Spark 1.3 share?

20 benchmarks have published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and Muse Spark 1.3 has 34.