Mistral: Mistral Small 3✓ Catalog verified
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
Overview
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
Access: available through the official Mistral AI API. Context window: 33K.
Specifications
| API identifier | mistralai/mistral-small-24b-instruct-2501 |
| Provider | Mistral AI |
| Model type | Text LLM |
| Context window | 33K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Jan 30, 2025 |
| Tokenizer | Mistral |
| Moderated | No |
| Architecture modality | text->text |
API defaults
{
"top_p": null,
"temperature": 0.3,
"frequency_penalty": null
}Pricing
Live pricing components for mistralai/mistral-small-24b-instruct-2501 as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $5e-8 | $0.05 / 1M | Per input token |
| Completion tokens | $8e-8 | $0.08 / 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
$0.04Calculated 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: Mistral Small 3 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/mistral-small-24b-instruct-2501",
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 |
|---|---|---|---|---|
| AionLabs: Aion-RP 1.0 (8B) | Aion Labs | 33K | $0.80 | View → |
| Magnum v4 72B | Anthracite Org | 33K | $2.50 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Mistral: Mistral Small 3 cost?
$0.05 per 1M input tokens and $0.08 per 1M output tokens on the official Mistral AI API.
What is the context window of Mistral: Mistral Small 3?
Mistral: Mistral Small 3 supports up to 33K tokens of context.
Does Mistral: Mistral Small 3 support tool / function calling?
Mistral: Mistral Small 3 does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access Mistral: Mistral Small 3?
Use the official Mistral AI API with the model id `mistralai/mistral-small-24b-instruct-2501`. See the Quick start section above for code examples.