Mistral Small API

Mistral's Mistral Small, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send mistral-small as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: mistral-small
Maker: Mistral
Context window: 32K tokens
Input price: $0.100 per million tokens
Output price: $0.300 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.100 input and $0.300 output per million tokens, $0.100 cache read per million tokens, 32K tokens of context

Scores

HLE: 4.3, #219 of 273
GPQA: 38.1, #236 of 250
LiveCodeBench: 14.1, #119 of 130
MMLU-Pro: 52.9, #123 of 133

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistral-small",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Mistral Small?: Mistral Small is a model from Mistral.
How much does Mistral Small cost?: Offers now ask $0.100 per million input tokens and $0.300 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of Mistral Small?: The largest offer takes 32,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Mistral Small do?: Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Mistral Small support?: Text → Text.
Which providers serve Mistral Small?: 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
How do I call Mistral Small?: Send "mistral-small" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Mistral Small listed?: The exchange first listed it on 10/10/2026. This is not its release date.