# Mistral Large 3 vs Muse Spark 1.2

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 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 1.2's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-large-3-vs-muse-spark-1-2
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Mistral Large 3 scores higher in 0 categories and Muse Spark 1.2 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 14.6.
- The biggest single-benchmark swing is NYT Connections (extended): 7.5% for Mistral Large 3 and 79.2% for Muse Spark 1.2.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
- Muse Spark 1.2 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 1.2 |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 38.6 | 49.8 |
| Rank | 172 | 44 |
| 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 1.2: 48.6 (#49)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| LMArena WebDev | 1230 | 1532 |
| LMArena Coding | 1447 | 1497 |
| DeepSWE | — | 54.9% |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| WeirdML | — | 60.3% |

## Agentic & Tool Use

- Mistral Large 3: —
- Muse Spark 1.2: 29.5 (#77)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| GDP.pdf | — | 16% |

## Reasoning

- Mistral Large 3: 14.6 (#314)
- Muse Spark 1.2: 50.4 (#32)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| NYT Connections (extended) | 7.5% | 79.2% |
| LMArena Hard Prompts | 1429 | 1490 |
| SimpleBench | — | 74.5% |
| Kagi LLM Benchmark | 50.9% | — |
| CritPt | — | 17.7% |
| Thematic Generalization | 23% | — |
| DTBench | — | 94.7% |
| LMCA | — | 48.4% |
| Epoch Capabilities Index | — | 155.18 |

## Math

- Mistral Large 3: 36.0 (#131)
- Muse Spark 1.2: 43.8 (#68)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| ProofBench | — | 43% |
| LMArena Math | 1415 | — |

## Knowledge

- Mistral Large 3: 35.5 (#173)
- Muse Spark 1.2: 53.9 (#49)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1421 | 1485 |
| SimpleQA Verified | — | 60.3% |
| Vectara Hallucination Rate | 14.5% | — |

## Multimodal

- Mistral Large 3: 37.6 (#65)
- Muse Spark 1.2: 42.6 (#24)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1222 | 1304 |

## Multilingual

- Mistral Large 3: 52.6 (#79)
- Muse Spark 1.2: 57.4 (#10)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1412 | 1479 |
| LMArena Chinese | 1448 | 1519 |
| LMArena Russian | 1412 | 1494 |
| LMArena French | 1456 | — |
| LMArena German | 1438 | — |
| LMArena Japanese | 1399 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1437 | — |

## Instruction Following

- Mistral Large 3: 74.1 (#104)
- Muse Spark 1.2: 77.1 (#30)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1402 | 1466 |

## Long Context

- Mistral Large 3: 43.1 (#102)
- Muse Spark 1.2: 45.4 (#35)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1413 | 1483 |

## Writing & Preference

- Mistral Large 3: 60.2 (#100)
- Muse Spark 1.2: 72.6 (#14)

| Benchmark | Mistral Large 3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1427 | 1486 |
| LMArena Creative Writing | 1385 | 1444 |
| EQ-Bench Creative Writing | 1412 | 1840 |
| LMArena Multi-Turn | 1429 | 1504 |

## FAQ

### Is Mistral Large 3 better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 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 1.2's lead doesn't matter for your workload.

### Which is cheaper, Mistral Large 3 or Muse Spark 1.2?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

### Is Mistral Large 3 or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 262K.

### How many benchmarks do Mistral Large 3 and Muse Spark 1.2 share?

15 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Muse Spark 1.2 has 28.