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 for efficient local deployment. The model achieves 81% accuracy on the MMLU benchmark and performs competitively with larger models like Llama 3.3 70B and Qwen 32B, while operating at three times the speed on equivalent hardware. Read the blog post about the model here.
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 for efficient local deployment. The model achieves 81% accuracy on the MMLU benchmark and performs competitively with larger models like Llama 3.3 70B and Qwen 32B, while operating at three times the speed on equivalent hardware. Read the blog post about the model here.
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 | ✓ Supported | 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 → |
| Arcee AI: Coder Large | Arcee Ai | 33K | $0.50 | 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?
Yes, Mistral: Mistral Small 3 supports tool / function calling — you can register tools and the model will emit structured tool calls.
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.