Mistral: Mistral Medium 3.1 (batch)✓ Catalog verified
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Overview
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Access: available through the official Mistral AI API. Context window: 131K.
Specifications
| API identifier | mistralai/mistral-medium-3.1:batch |
| Provider | Mistral AI |
| Model type | Multimodal LLM |
| Context window | 131K catalog |
| Input modalities | text · image · file |
| Output modalities | text |
| Released | Aug 13, 2025 |
| Tokenizer | Mistral |
| Moderated | No |
| Architecture modality | text+image+file->text |
API defaults
{
"temperature": 0.3
}Pricing
Live pricing components for mistralai/mistral-medium-3.1:batch 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 3.1 (batch) 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-3.1:batch",
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 3.1 (batch) 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 3.1 (batch)?
Mistral: Mistral Medium 3.1 (batch) supports up to 131K tokens of context.
Does Mistral: Mistral Medium 3.1 (batch) support tool / function calling?
Yes, Mistral: Mistral Medium 3.1 (batch) supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Mistral: Mistral Medium 3.1 (batch)?
Use the official Mistral AI API with the model id `mistralai/mistral-medium-3.1:batch`. See the Quick start section above for code examples.