Model comparison

Codestral vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 30.6 on the Noometry Index. Codestral costs 4.4× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Codestral Mistral AI

30.6

Rank #290 Reported

Muse Spark 1.1 Meta

49.9

Rank #51 Confirmed

Summary

  • The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 19.8.
  • Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
  • Muse Spark 1.1 accepts more context: 1.05M tokens versus 256K.

Side by side

Codestral and Muse Spark 1.1 specifications
CodestralMuse Spark 1.1
ProviderMistral AIMeta
Noometry Index30.649.9
Released2024-05-292026-04-08
WeightsProprietaryProprietary
Context window256K1.05M
Max output8K131K
Input $ / M tokens$0.30$1.25
Output $ / M tokens$0.90$4.25
Results tracked737

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Category by category

Coding Muse Spark 1.1 leads

Codestral: 27.3 (#321), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
BenchmarkCodestralMuse Spark 1.1
DeepSWE—53.3%
Aider Polyglot11.1%—
LMArena WebDev—1542
SciCode—58.8%
BigCodeBench Instruct41.8%—
LMArena Coding—1498
BigCodeBench Complete52.5%—
ALE-Bench137.78—
HumanEval+73.8%—
MBPP+61.9%—

Agentic & Tool Use Not comparable

Codestral: —, Muse Spark 1.1: 30.8 (#73)

Agentic & Tool Use benchmarks
BenchmarkCodestralMuse Spark 1.1
APEX-Agents—31.8%
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%
Vending-Bench 2—6,520

Reasoning Muse Spark 1.1 leads

Codestral: 19.8 (#251), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
BenchmarkCodestralMuse Spark 1.1
Kagi LLM Benchmark32.5%—
NYT Connections (extended)—84.9%
CritPt—15.1%
LMArena Hard Prompts—1486
DTBench—94.4%
LMCA—49.9%
Surface Evolver Bench—52.5%
Epoch Capabilities Index—154.21

Math Not comparable

Codestral: —, Muse Spark 1.1: 45.5 (#76)

Math benchmarks
BenchmarkCodestralMuse Spark 1.1
ProofBench—39%
LMArena Math—1483

Knowledge Not comparable

Codestral: —, Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
BenchmarkCodestralMuse Spark 1.1
SimpleQA Verified—57.8%
LMArena Expert—1478

Multimodal Not comparable

Codestral: —, Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
BenchmarkCodestralMuse Spark 1.1
LMArena Vision—1293
LMArena Document—1465

Multilingual Not comparable

Codestral: —, Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
BenchmarkCodestralMuse Spark 1.1
LMArena Non-English—1472
LMArena Chinese—1518
LMArena French—1494
LMArena German—1466
LMArena Japanese—1451
LMArena Korean—1458
LMArena Russian—1483
LMArena Spanish—1464

Instruction Following Not comparable

Codestral: —, Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
BenchmarkCodestralMuse Spark 1.1
LMArena Instruction Following—1457

Long Context Not comparable

Codestral: —, Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
BenchmarkCodestralMuse Spark 1.1
LMArena Longer Query—1462

Writing & Preference Not comparable

Codestral: —, Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
BenchmarkCodestralMuse Spark 1.1
LMArena Text—1479
LMArena Creative Writing—1437
EQ-Bench Creative Writing—1927
EQ-Bench 4—1260
LMArena Multi-Turn—1485

Frequently asked questions

Is Codestral better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 30.6 on the Noometry Index. Codestral costs 4.4× 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, Codestral or Muse Spark 1.1?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

Is Codestral or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 27.3 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 256K.

How many benchmarks do Codestral and Muse Spark 1.1 share?

0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Muse Spark 1.1 has 37.

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