Ministral 3 8B API Pricing
Mistral · released Dec 2, 2025 · 262K context · API model ID ministral-8b-2512
Ministral 3 8B by Mistral API pricing: $0.15 per 1M input tokens and $0.15 per 1M output tokens (provider list price via models.dev, Oct 10, 2026).
Prices
| Price | USD per 1M tokens |
|---|---|
| Input | $0.15 |
| Output | $0.15 |
| Cache read | $0.015 |
| Cache write | Not published |
Mistral's list price for its own API, as compiled by models.dev and checked Oct 10, 2026, 09:00 UTC. Prices on cloud platforms and resellers can differ. Provider documentation
Estimated monthly cost
$67.50
per month
- per day
- $2.25
- per request
- $0.000225
Cannot estimate: a needed price is not published.
Cost = input tokens × input price + output tokens × output price, 30 days a month. Cached input uses the cache read price. Cache write fees are not included.
Monthly cost by workload
| Workload | Per month |
|---|---|
| Chatbot1,000 in / 500 out tokens, 10,000 requests a day | $67.50/mo |
| RAG8,000 in / 500 out tokens, 5,000 requests a day | $191.25/mo |
| Coding agent50,000 in / 2,000 out tokens, 1,000 requests a day, 80% cached input | $72.00/mo |
Context and capabilities
- Context
- 262,144 tokens
- Max output
- 262,144 tokens
- Input
- text, image
- Output
- text
- Knowledge cutoff
- Not published
- Open weights
- Yes
- Tool calling
- Yes
- Reasoning
- No
- Structured outputs
- Yes
Capabilities and limits as listed by models.dev.
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Price history
No price changes since we started tracking on Oct 8, 2026.
Questions
- How much does Ministral 3 8B cost per month?
- For a chatbot handling 10,000 requests a day with 1,000 input and 500 output tokens each, Ministral 3 8B costs about $67.50 per month at Mistral's list prices ($0.15 per 1M input tokens, $0.15 per 1M output tokens).
- Does Ministral 3 8B support prompt caching?
- Yes. Cached input costs $0.015 per 1M tokens, compared with $0.15 for regular input.
- How long is Ministral 3 8B's context window?
- Ministral 3 8B accepts up to 262,144 tokens (262K) of context and returns up to 262,144 tokens per response.