Mistral: Ministral 8B✓ Catalog verified
Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length...
Overview
Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length...
Access: available through the official Mistral AI API. Context window: 128K.
Specifications
| API identifier | mistralai/ministral-8b |
| Provider | Mistral AI |
| Model type | Text LLM |
| Context window | 128K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Oct 17, 2024 |
| Tokenizer | Mistral |
| Moderated | No |
| Architecture modality | text->text |
API defaults
{
"temperature": 0.3
}Pricing
Live pricing components for mistralai/ministral-8b as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $1.1e-7 | $0.11 / 1M | Per input token |
| Completion tokens | $1.1e-7 | $0.11 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.08Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Mistral: Ministral 8B through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="mistralai/ministral-8b",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AllenAI: Olmo 2 32B Instruct | Allenai | 128K | $0.05 | View → |
| Amazon: Nova Micro 1.0 | Amazon | 128K | $0.04 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Mistral: Ministral 8B cost?
$0.11 per 1M input tokens and $0.11 per 1M output tokens on the official Mistral AI API.
What is the context window of Mistral: Ministral 8B?
Mistral: Ministral 8B supports up to 128K tokens of context.
Does Mistral: Ministral 8B support tool / function calling?
Mistral: Ministral 8B does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access Mistral: Ministral 8B?
Use the official Mistral AI API with the model id `mistralai/ministral-8b`. See the Quick start section above for code examples.