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Mistral AI Codestral 22B VS OpenAI GPT-5.6 Luna

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

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/A

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)5.0x cheaper
$0.45Input: $0.30 | Output: $0.90
Context Window
32.77k tokens
Model 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: $6.00
Context WindowLarger
1.05M tokens

Frequently 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).