LLM API
Model provider12 modelsPrivacy policy

Mistral AI

Mistral AI serves 12 models on LLM API: 11 text models and 1 embedding model, all from Mistral AI.

Models and prices

Prices when Mistral AI serves the request.

Text 11

Prices per 1M tokens

Text models on Mistral AI and their prices on LLM API
Mistral AIMistral Large 4mistral/mistral-large-4$0.7$2.1$0.071M
Mistral AIMistral Large 3mistral/mistral-large-2512$0.5$1.5$0.05262K
Mistral AIMinistral 14Bmistral/ministral-14b-2512$0.2$0.2$0.02262K
Mistral AIMinistral 3Bmistral/ministral-3b-2512$0.1$0.1—131K
Mistral AIMinistral 8Bmistral/ministral-8b-2512$0.15$0.15—262K
Mistral AICodestralmistral/codestral-2508$0.3$0.9—256K
Mistral AIMistral Large Latestmistral/mistral-large-latest$4$12—128K
Mistral AIOCR-4-0mistral/mistral-ocr-4-0$0.004/ page———
Mistral AIOCR 4.1mistral/mistral-ocr-4-1$0.004/ page———
Mistral AIDevstral 2Deprecatedmistral/devstral-2512$0.4$2—262K
Mistral AIMistral Small 3.2Deprecatedmistral/mistral-small-2506$0.1$0.3—128K

Embeddings 1

Price per 1M input tokens

Embeddings models on Mistral AI and their prices on LLM API
Mistral AIMistral Embedmistral-embed$0.110248K

Send requests to Mistral AI

Put mistral/ before a model ID and the request goes to Mistral AI. If Mistral AI’s uptime over the last 5 minutes is below 90%, it goes to another provider of the model, unless it sends X-No-Fallback: true. Routing docs

Example: Mistral Large 4

POST /v1/chat/completionsSet LLMAPI_KEY to your LLM API key.Chat Completions docs

import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llmapi.ai/v1",
    api_key=os.environ["LLMAPI_KEY"],
)

response = client.chat.completions.create(
    model="mistral/mistral-large-4",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Prices synced November 13, 2026.

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