# Codestral vs Muse Spark 1.3

> Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 30.6 on the Noometry Index. Codestral costs 4.4× 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/codestral-vs-muse-spark-1-3
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 19.8.
- Codestral is cheaper at $0.30 / $0.90 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 256K.

## Snapshot

| | Codestral | Muse Spark 1.3 |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 30.6 | 54.8 |
| Rank | 290 | 27 |
| Context | 256K | 1.05M |
| Input $/M | $0.30 | $1.25 |
| Output $/M | $0.90 | $4.25 |
| Weights | Proprietary | Proprietary |

## Coding

- Codestral: 27.3 (#321)
- Muse Spark 1.3: 56.6 (#21)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1514 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Agentic & Tool Use

- Codestral: —
- Muse Spark 1.3: 38.6 (#30)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |

## Reasoning

- Codestral: 19.8 (#251)
- Muse Spark 1.3: 54.0 (#27)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Chess Puzzles | — | 38% |
| LMArena Hard Prompts | — | 1503 |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| Epoch Capabilities Index | — | 156.75 |

## Math

- Codestral: —
- Muse Spark 1.3: 73.1 (#21)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| ProofBench | — | 58% |
| LMArena Math | — | 1494 |

## Knowledge

- Codestral: —
- Muse Spark 1.3: 42.6 (#95)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | — | 1516 |

## Multimodal

- Codestral: —
- Muse Spark 1.3: 43.7 (#22)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |

## Multilingual

- Codestral: —
- Muse Spark 1.3: 57.4 (#8)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | — | 1481 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1524 |
| LMArena German | — | 1515 |
| LMArena Japanese | — | 1474 |
| LMArena Korean | — | 1501 |
| LMArena Russian | — | 1490 |
| LMArena Spanish | — | 1490 |

## Instruction Following

- Codestral: —
- Muse Spark 1.3: 77.5 (#22)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | — | 1477 |

## Long Context

- Codestral: —
- Muse Spark 1.3: 45.6 (#32)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | — | 1488 |

## Writing & Preference

- Codestral: —
- Muse Spark 1.3: 73.6 (#9)

| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | — | 1490 |
| LMArena Creative Writing | — | 1455 |
| EQ-Bench Creative Writing | — | 1906 |
| LMArena Multi-Turn | — | 1482 |

## FAQ

### Is Codestral better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 30.6 on the Noometry Index. Codestral costs 4.4× 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, Codestral or Muse Spark 1.3?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.

### Is Codestral or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 27.3 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 256K.

### How many benchmarks do Codestral and Muse Spark 1.3 share?

0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Muse Spark 1.3 has 37.