Mistral / mistral/ministral-3b-latest
Ministral 3 3B - access through LLMTR
Useful for low-resource assistants, automation, and local experiments. It gives up quality ceiling versus larger models, but wins on deployment flexibility.
Technical specifications
| Canonical ID | mistral/ministral-3b-latest |
|---|---|
| Provider | Mistral |
| Context window | 128,000 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $0.100000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $0.100000 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions -H "Authorization: Bearer llmtr-your_key" -H "Content-Type: application/json" -d '{"model":"mistral/ministral-3b-latest","messages":[{"role":"user","content":"Hello"}]}'
Guides about this model
- Nanbeige4.2 3B vs Ministral 3 3B: two small models - Both models are called on LLMTR through /v1/chat/completions with the same API key. Nanbeige4.2 3B is hosted in Turkey and costs $1.00 input and $3.00 output per 1M tokens. Ministral 3 3B costs $0.10 input and $0.10 output, reads images and does not carry LLMTR's Turkey hosting mark.
- Choosing between Ministral 3B and 8B when the API price gap is small - The Ministral 8B article covered its 'Edge' positioning and function calling. This article covers when the smallest member of the same family, 3B, should be chosen over 8B, given how small the price gap actually is.
Related models
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- Mistral Large 3 mistral/mistral-large-latest
- Mistral Small 4 mistral/mistral-small-latest
- Mistral Medium 3.1 mistral/mistral-medium-latest
- Devstral 2 mistral/devstral-medium-latest
- Magistral Medium 1.2 mistral/magistral-medium-latest
- Magistral Small 1.2 mistral/magistral-small-latest
- Devstral Small 2 mistral/devstral-small-latest