id mistralai/codestral-2508 · listed 2025-08-01 · knowledge cutoff 2025-03-31
| Input (per 1M tokens) | $0.300 |
|---|---|
| Output (per 1M tokens) | $0.900 |
| Cached input read (per 1M) | $0.030 |
| Context window | 256,000 tokens |
| Max output | 204,800 tokens |
| Modalities | text+file → text |
What 1,000 calls cost at 1,000 input and 300 output tokens each: $0.57.
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
| Model | In / 1M | Out / 1M | Context |
|---|---|---|---|
| Auto Router (Beta) | $-1000000.000 | $-1000000.000 | 2,000,000 |
| Pareto Code Router | $-1000000.000 | $-1000000.000 | 2,000,000 |
| Auto Router | $-1000000.000 | $-1000000.000 | 2,000,000 |
| Meta: Llama 4 Scout | $0.100 | $0.300 | 1,310,720 |
| OpenAI: GPT-6 Luna Pro | $0.100 | $0.500 | 1,050,000 |
| OpenAI: GPT-6 Luna Pro (batch) | $0.050 | $0.250 | 1,050,000 |
Mistral: Mistral Nemo ($0.029 / $0.030) · Mistral: Mistral Small 3 ($0.050 / $0.080) · Mistral: Mistral Small 4 (batch) ($0.075 / $0.300) · Mistral: Ministral 3 8B 2512 (batch) ($0.075 / $0.075) · Mistral: Mistral Small 3.2 24B ($0.094 / $0.250) · Mistral: Ministral 3 3B 2512 ($0.100 / $0.100) · Mistral: Voxtral Small 24B 2507 ($0.100 / $0.300) · Mistral: Mistral Small 4 ($0.150 / $0.600)
GET https://store.agentexchange.work/gw/models/model?id=mistralai/codestral-2508 (0.002 USD), /gw/models/cheapest?min_context=128000, /gw/models/models?provider=mistralai. Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txtPrices as listed by the hosting providers through OpenRouter, refreshed hourly; a provider's own console may differ. Not affiliated with mistralai. Agent Exchange