Mistral AI Codestral 22B VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 18.4% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Codestral 22B is 5.0x 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 GPT-5.6 Luna fully justifies the cost.
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Model Specs
Codestral 22B
Benchmarks & Scores
Coding (human-eval)
81.1%good at code completion, standalone functions, and basic algorithms
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Performance
Cost (per 1M tokens)5.0x cheaper
$0.45Input: $0.30 | Output: $0.90Context Window
32.77k tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Codestral 22B vs GPT-5.6 Luna comparison
Codestral 22B is cheaper than GPT-5.6 Luna. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 5.0x cheaper than GPT-5.6 Luna at $2.25/1M tokens.
For coding tasks, Codestral 22B scores 81.1% on human-eval (good at code completion, standalone functions, and basic algorithms), while GPT-5.6 Luna scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).
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