Mixtral-8x7B Instruct v0.1
Open weightsMixtral-8x7B Instruct v0.1 is a language model from mistralai with a 32K-token context window. Provider list price is $0.60 per million input tokens and $0.60 per million output; on Allocate you pay $0.64 and $0.64 with the 7% transaction fee. The weights are open under Apache 2.0, so you can fine-tune it and own the result.
Pricing
Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.
Price against its peers
Provider list prices per M tokens, Mixtral-8x7B Instruct v0.1 against its nearest language peers by price.
What a real workload costs
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.60 + 350 × $0.60 = $930 a month. Billed on Allocate it is $995.10 with the 7% transaction fee.
Mixtral-8x7B Instruct v0.1 is an open-weights model under the Apache 2.0 license. Fine-tune it on your own data and the weights stay inside your boundary; they belong to you.
Example usage
Point a route at mistral/mixtral-8x7b-instruct-v0.1 and the endpoint never changes; swap the model behind it whenever you want.
curl https://api.allocate.network/v1/chat/completions \ -H "Authorization: Bearer $ALLOCATE_KEY" \ -d '{ "model": "mistral/mixtral-8x7b-instruct-v0.1", "messages": [{"role": "user", "content": "Summarise the attached contract."}] }'
Common questions
How much does Mixtral-8x7B Instruct v0.1 cost per million tokens?
Provider list price is $0.60 per million input tokens and $0.60 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.64 in and $0.64 out.
What context window does Mixtral-8x7B Instruct v0.1 have?
32,768 tokens (32K). At roughly 0.75 words per token, that is about 25k words of English text per request.
Can I fine-tune Mixtral-8x7B Instruct v0.1?
Yes. Mixtral-8x7B Instruct v0.1 is an open-weights model under the Apache 2.0 license. The license is permissive, so the fine-tuned weights are yours to use commercially. On Allocate the trained weights stay inside your boundary and belong to you.
How do I call Mixtral-8x7B Instruct v0.1 on Allocate?
Send mistral/mixtral-8x7b-instruct-v0.1 in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.