Model comparison
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.
Last verified . 0 shared benchmarks.
Mistral AI
MetaSummary
- 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.
Side by side
| Codestral | Muse Spark 1.3 | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 30.6 | 54.8 |
| Released | 2024-05-29 | 2026-09-02 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | 1.05M |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.30 | $1.25 |
| Output $ / M tokens | $0.90 | $4.25 |
| Results tracked | 7 | 37 |
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Category by category
Coding Muse Spark 1.3 leads
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 Not comparable
Codestral: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
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 Not comparable
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 Not comparable
Codestral: —, Muse Spark 1.3: 42.6 (#95)
| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | — | 1516 |
Multimodal Not comparable
Codestral: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
Multilingual Not comparable
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 Not comparable
Codestral: —, Muse Spark 1.3: 77.5 (#22)
| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | — | 1477 |
Long Context Not comparable
Codestral: —, Muse Spark 1.3: 45.6 (#32)
| Benchmark | Codestral | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | — | 1488 |
Writing & Preference Not comparable
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 |
Frequently asked questions
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.