Mixtral 8x7b Instruct V0.1 API

Mistral's Mixtral 8x7b Instruct V0.1, 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 mixtral-8x7b-instruct-v0.1 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: mixtral-8x7b-instruct-v0.1
Maker: Mistral
Context window: 32.8K tokens
Input price: $0.401 per million tokens
Output price: $0.401 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.401 input and $0.401 output per million tokens, $0.401 cache read per million tokens, 32.8K tokens of context

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mixtral-8x7b-instruct-v0.1",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Mixtral 8x7b Instruct V0.1?: Mixtral 8x7b Instruct V0.1 is a model from Mistral.
How much does Mixtral 8x7b Instruct V0.1 cost?: Offers now ask $0.401 per million input tokens and $0.401 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 Mixtral 8x7b Instruct V0.1?: The largest offer takes 32,768 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Mixtral 8x7b Instruct V0.1 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 Mixtral 8x7b Instruct V0.1 support?: Text → Text.
Which providers serve Mixtral 8x7b Instruct V0.1?: 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 Mixtral 8x7b Instruct V0.1?: Send "mixtral-8x7b-instruct-v0.1" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Mixtral 8x7b Instruct V0.1 listed?: The exchange first listed it on 10/10/2026. This is not its release date.

Mixtral 8x7b Instruct V0.1 API

Facts

Providers

Request

Questions

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