For coding agents, Codestral costs 1.4x as much as GPT-5.6 Luna per request ($0.0070 vs $0.0051 on our measured traffic), because Codestral lists at $0.30 input, $0.03 cached input and $0.90 output per million tokens against $0.20, $0.02 and $1.20 for GPT-5.6 Luna, and GPT-5.6 Luna charges more for prompts over 272K tokens.
Run GPT-5.6 Luna and GPT-6 Luna in your agent from $19/month
See plans| Cost at list price | GPT-5.6 Luna | Codestral |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.0032 | $0.0043 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.0077 | $0.011 |
| Prompt over 272K tokens11% of requests, 86% of input cached | n/a | n/a |
| Average request | $0.0051 | $0.0070 |
| 100 requests | $0.51 | $0.70 |
| Median session16 requests; a session ends after 10 idle minutes | $0.062 | $0.084 |
| A month of regular usemedian of 20 users active on 5+ days | $6.42 | $8.91 |
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.
Codestral's 256K window cannot take 13% of coding-agent requests, so the comparison uses only requests both can take. GPT-5.6 Luna is superseded: GPT-6 Luna costs $0.0041 per request.
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
Setting it up? GPT-5.6 Luna: model ID, providers and agent config
The agent matters as much as the model. Compare AI agents →
Current Claude, GPT, Gemini and open models are included with Standard Compute