Mistral: Mistral Medium 3✓ Catalog verified
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.
Overview
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.
Access: available through the official Mistral AI API. Context window: 131K.
Specifications
| API identifier | mistralai/mistral-medium-3 |
| Provider | Mistral AI |
| Model type | Multimodal LLM |
| Context window | 131K catalog |
| Input modalities | text · image |
| Output modalities | text |
| Released | May 7, 2025 |
| Tokenizer | Mistral |
| Moderated | No |
| Architecture modality | text+image->text |
API defaults
{
"temperature": 0.3
}Pricing
Live pricing components for mistralai/mistral-medium-3 as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $4e-7 | $0.40 / 1M | Per input token |
| Completion tokens | $0.000002 | $2.00 / 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
$0.6Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | 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 Medium 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-medium-3",
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-1.0 | Aion Labs | 131K | $4.00 | View → |
| AionLabs: Aion-1.0-Mini | Aion Labs | 131K | $0.70 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Mistral: Mistral Medium 3 cost?
$0.40 per 1M input tokens and $2.00 per 1M output tokens on the official Mistral AI API.
What is the context window of Mistral: Mistral Medium 3?
Mistral: Mistral Medium 3 supports up to 131K tokens of context.
Does Mistral: Mistral Medium 3 support tool / function calling?
Yes, Mistral: Mistral Medium 3 supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Mistral: Mistral Medium 3?
Use the official Mistral AI API with the model id `mistralai/mistral-medium-3`. See the Quick start section above for code examples.