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Meta Muse Spark 1.1 VS Mistral AI Codestral 22B

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Muse Spark 1.1 is the premium intelligence choice, scoring 19.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Codestral 22B is 4.4x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Codestral 22B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Muse Spark 1.1 fully justifies the cost.
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Model Specs

Muse Spark 1.1

Benchmarks & Scores

Coding (swe-bench-pro)
61.5%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
91.16%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$2.00Input: $1.25 | Output: $4.25
Context WindowLarger
1.05M tokens
Model Specs

Codestral 22B

Benchmarks & Scores

Coding (human-eval)
81.1%

good at code completion, standalone functions, and basic algorithms

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)4.4x cheaper
$0.45Input: $0.30 | Output: $0.90
Context Window
32.77k tokens

Frequently Asked Questions about Muse Spark 1.1 vs Codestral 22B comparison

Codestral 22B is cheaper than Muse Spark 1.1. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 4.4x cheaper than Muse Spark 1.1 at $2.00/1M tokens.

For coding tasks, Muse Spark 1.1 scores 61.5% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases), while Codestral 22B scores 81.1% on human-eval (good at code completion, standalone functions, and basic algorithms).