Mixtral 8x7B v0.1
Open MoE
The original Mixtral MoE from late 2023. Kicked off the open-weights MoE wave; now superseded by 8x22B and Llama 3.x.
Mixtral 8x7B v0.1 is a efficient AI model from Mistral. It costs $0.240 per million input tokens and $0.240 per million output tokens (blended $0.240/M), with a 32,000-token context window.
INPUT
$0.240/M
per million input tokens
OUTPUT
$0.240/M
per million output tokens
CONTEXT
32,000
tokens
What it is good at
- Open weights
- 32K context
- Wide ecosystem
Typical use cases
- Legacy Mixtral 8x7B deployments
- Fine-tune base
Benchmarks
vs. best public score
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.
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Frequently asked questions
How much does Mixtral 8x7B v0.1 cost?
Mixtral 8x7B v0.1 costs $0.240 per million input tokens and $0.240 per million output tokens, for a blended reference rate of $0.240 per million tokens.
What is Mixtral 8x7B v0.1's context window?
Mixtral 8x7B v0.1 supports up to 32,000 tokens of context in a single request.
What is Mixtral 8x7B v0.1 best for?
Mixtral 8x7B v0.1 is well suited to Open weights, 32K context and Wide ecosystem.
Who makes Mixtral 8x7B v0.1?
Mixtral 8x7B v0.1 is developed and served by Mistral. It was released in Dec 2023.