For coding agents, Mistral Large 3 costs 1.7x as much as Codestral per request ($0.012 vs $0.0070 on our measured traffic), because every Mistral Large 3 rate is 1.67 times Codestral's.
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| Cost at list price | Codestral | Mistral Large 3 |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.0043 | $0.0071 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.011 | $0.018 |
| Prompt over 272K tokens11% of requests, 86% of input cached | n/a | n/a |
| Average request | $0.0070 | $0.012 |
| 100 requests | $0.70 | $1.17 |
| Median session16 requests; a session ends after 10 idle minutes | $0.084 | $0.14 |
| A month of regular usemedian of 20 users active on 5+ days | $8.91 | $14.85 |
Each logged request priced at the vendor’s list rates for its own token counts, including cache reads and any higher rate for long prompts. Average output: 698 tokens per request. Both models are priced on the requests up to 256K tokens that fit in both context windows; band shares above describe all requests.
Mistral Large 3 is a general model and Codestral a code-completion model; neither is built for long agent loops, and both windows are smaller than about 12% of coding-agent requests. The comparison uses requests both can take.
Pick a winner in each dimension. You can change your vote any time.
Correctness and depth of what it produces
Tool calls, instruction-following, and multi-step tasks
Tokens per second and time-to-first-token
How much capability you get per dollar
Consistent results: fewer refusals, loops and format breaks
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