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Mistral AI Codestral 22B VS xAI Grok 4.5

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

📊Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Codestral 22B and Grok 4.5 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

Codestral 22B

Open SourceAPI Available

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)6.7x cheaper
$0.45Input: $0.30 | Output: $0.90
Context Window
32.77k tokens
Model Specs

Grok 4.5

Benchmarks & Scores

Coding (swe-bench-pro)
64.7%

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

Reasoning (gpqa-diamond)
93%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00
Context WindowLarger
500k tokens

Frequently Asked Questions about Codestral 22B vs Grok 4.5 comparison

Codestral 22B is cheaper than Grok 4.5. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 6.7x cheaper than Grok 4.5 at $3.00/1M tokens.

For coding tasks, Codestral 22B scores 81.1% on human-eval (good at code completion, standalone functions, and basic algorithms), while Grok 4.5 scores 64.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).