
Codestral (Jan '25): Intelligence, Performance & Price Analysis
Analysis of Mistral's Codestral (Jan '25) and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more. Click on any model to compare API providers for that model. For more details including relating to our methodology, see our FAQs.
Comparison Summary
Intelligence:
Codestral (Jan '25) is of lower quality compared to average, with a MMLU score of 0.446 and a Intelligence Index across evaluations of 28.
Price:Codestral (Jan '25) is cheaper compared to average with a price of $0.45 per 1M Tokens (blended 3:1).
Codestral (Jan '25) Input token price: $0.30, Output token price: $0.90 per 1M Tokens.
Speed:Codestral (Jan '25) Input token price: $0.30, Output token price: $0.90 per 1M Tokens.
Codestral (Jan '25) is faster compared to average, with a output speed of 172.7 tokens per second.
Latency:Codestral (Jan '25) has a lower latency compared to average, taking 0.30s to receive the first token (TTFT).
Context Window:Codestral (Jan '25) has a smaller context windows than average, with a context window of 260k tokens.
Highlights
Intelligence
Artificial Analysis Intelligence Index; Higher is better
Speed
Output Tokens per Second; Higher is better
Price
USD per 1M Tokens; Lower is better
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Prompt Length:
Codestral (Jan '25) Model Details
Comparisons to Codestral (Jan '25)
Codestral (Jan '25)
GPT-4.1
o3
o4-mini (high)
o3-pro
Llama 4 Scout
Llama 4 Maverick
Gemini 2.5 Flash (Reasoning)
Gemini 2.5 Pro
Claude 4 Opus Thinking
Claude 4 Sonnet
Claude 4 Sonnet Thinking
Magistral Small
DeepSeek R1 0528 (May '25)
DeepSeek V3 0324 (Mar '25)
Grok 3 mini Reasoning (high)
Nova Premier
MiniMax M1 80k
Llama Nemotron Ultra Reasoning
Qwen3 235B (Reasoning)
GPT-4o (Nov '24)
Further details