Mistral AI
Mistral Small 4
mistral/mistral-small-2603
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Hybrid model combining instruct, reasoning and coding in one model, with 119B total and 6.5B active parameters, Apache 2.0.
Price
- Input
- $0.15 per 1M tokens
- Output
- $0.6 per 1M tokens
- Notes
- Standard tier. Cached input $0.015.
- Source
- Mistral AI pricing , last verified October 8, 2026
No markup on model usage: you pay the provider's list price.
Model
- Context
- 256K (256,000 tokens)
- Modality
- Text and image
- Input
- text, image
- Output
- text
- Weights
- Open weights
- Released
- March 16, 2026
- Tags
- open-weights, reasoning, coding, low-cost
Data policy
- Prompts go to
- Mistral AI (global endpoint by default)
- Retention
- Commercial terms: no training on customer data unless opted in, with exceptions, Studio Free mode may train on inputs and outputs (opt-out available), pay-as-you-go can opt out, ZDR available on pay-as-you-go for stateless endpoints
- Zero data retention
- Available
- Region
- Global by default, optional EU or US regional inference endpoints at 1.1x pricing
- Policy
- Mistral AI data policy
Summarised from the provider's published terms. The provider's own policy is what applies.
Call it with any OpenAI SDK
Available when the model is live
from openai import OpenAI
client = OpenAI(
base_url="https://api.safeguard.sh/v1",
api_key="SAFEGUARD_API_KEY",
)
response = client.chat.completions.create(
model="mistral/mistral-small-2603",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Base URL https://api.safeguard.sh/v1, model mistral/mistral-small-2603.
Self-healing security runs on Safeguard.
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