# Mistral Large 3 vs Muse Spark 1.1

> Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 38.6 on the Noometry Index. Mistral Large 3 costs 5.3× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-large-3-vs-muse-spark-1-1
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Mistral Large 3 scores higher in 0 categories and Muse Spark 1.1 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.1 leads 45.9 to 14.6.
- The biggest single-benchmark swing is NYT Connections (extended): 7.5% for Mistral Large 3 and 84.9% for Muse Spark 1.1.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 38.6 | 49.9 |
| Rank | 172 | 43 |
| Context | 262K | 1.05M |
| Input $/M | $0.25 | $1.25 |
| Output $/M | $0.75 | $4.25 |
| Weights | Open | Proprietary |

## Coding

- Mistral Large 3: 34.1 (#230)
- Muse Spark 1.1: 50.8 (#38)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| LMArena WebDev | 1230 | 1542 |
| LMArena Coding | 1447 | 1497 |
| DeepSWE | — | 53.3% |
| SciCode | — | 58.8% |

## Agentic & Tool Use

- Mistral Large 3: —
- Muse Spark 1.1: 33.9 (#45)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |

## Reasoning

- Mistral Large 3: 14.6 (#314)
- Muse Spark 1.1: 45.9 (#41)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| NYT Connections (extended) | 7.5% | 84.9% |
| LMArena Hard Prompts | 1429 | 1486 |
| Kagi LLM Benchmark | 50.9% | — |
| CritPt | — | 15.1% |
| Thematic Generalization | 23% | — |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
| Epoch Capabilities Index | — | 154.32 |

## Math

- Mistral Large 3: 36.0 (#131)
- Muse Spark 1.1: 44.0 (#67)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1415 | 1477 |
| ProofBench | — | 39% |

## Knowledge

- Mistral Large 3: 35.5 (#173)
- Muse Spark 1.1: 52.8 (#55)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1421 | 1480 |
| SimpleQA Verified | — | 57.8% |
| Vectara Hallucination Rate | 14.5% | — |

## Multimodal

- Mistral Large 3: 37.6 (#65)
- Muse Spark 1.1: 41.9 (#28)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | 1222 | 1292 |
| LMArena Document | — | 1465 |

## Multilingual

- Mistral Large 3: 52.6 (#79)
- Muse Spark 1.1: 56.8 (#16)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1412 | 1471 |
| LMArena Chinese | 1448 | 1518 |
| LMArena French | 1456 | 1494 |
| LMArena German | 1438 | 1466 |
| LMArena Japanese | 1399 | 1445 |
| LMArena Korean | 1384 | 1459 |
| LMArena Russian | 1412 | 1482 |
| LMArena Spanish | 1437 | 1471 |

## Instruction Following

- Mistral Large 3: 74.1 (#104)
- Muse Spark 1.1: 76.8 (#36)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1402 | 1457 |

## Long Context

- Mistral Large 3: 43.1 (#102)
- Muse Spark 1.1: 44.8 (#55)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1413 | 1463 |

## Writing & Preference

- Mistral Large 3: 60.2 (#100)
- Muse Spark 1.1: 73.6 (#11)

| Benchmark | Mistral Large 3 | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1427 | 1479 |
| LMArena Creative Writing | 1385 | 1440 |
| EQ-Bench Creative Writing | 1412 | 1927 |
| LMArena Multi-Turn | 1429 | 1484 |
| EQ-Bench 4 | — | 1260 |

## FAQ

### Is Mistral Large 3 better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 38.6 on the Noometry Index. Mistral Large 3 costs 5.3× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

### Which is cheaper, Mistral Large 3 or Muse Spark 1.1?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

### Is Mistral Large 3 or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 262K.

### How many benchmarks do Mistral Large 3 and Muse Spark 1.1 share?

21 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Muse Spark 1.1 has 36.