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MistralReleased December 11, 2023

Mixtral 8x7B

Mistral · Released December 11, 2023

Intelligence score

2

At a glance

Intelligence
2
Speed
—
Latency
—
Input price
$0.45per 1M tokens
Output price
$0.70per 1M tokens
Context window
33Ktokens
Parameters
46.7billions

Summary

Comparison summary

Mixtral 8x7B Instruct scores 2 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 7). Mixtral 8x7B Instruct costs $0.45 per 1M input tokens (better than average, median: $0.53) and $0.70 per 1M output tokens (better than average, median: $1.05), based on the median across providers serving the model.

Specifications

Technical specifications

Model nameMixtral 8x7B
ProviderMistral
Release dateDecember 11, 2023
Intelligence score2
Speed—
Latency (TTFT)—
Input price$0.45 / 1M tokens
Output price$0.70 / 1M tokens
Context window33,000 tokens
Parameters46.7B
ReasoningNo
Input modalitiestext
Output modalities—
Open weightsYes
LicenseApache 2
API availability—
SourceModel Intelligence legacy profile: mixtral-8x7b-instruct

Pricing

Token prices

Price per 1M tokens

Mixtral 8x7B, as listed in the catalog record

Input $0.45 and output $0.70 per 1M tokens. Missing prices are hatched and marked "Not published".
  1. Input$0.45
  2. Output$0.70

Model Intelligence legacy profile: mixtral-8x7b-instruct

FAQ · 18

Frequently asked questions

Mixtral 8x7B Instruct was released on December 11, 2023.

Mixtral 8x7B Instruct was created by Mistral.

Mixtral 8x7B Instruct scores 2 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 7).

Mixtral 8x7B Instruct costs $0.45 per 1M input tokens (better than average, median: $0.53) and $0.70 per 1M output tokens (better than average, median: $1.05), based on the median across providers serving the model.

Mixtral 8x7B Instruct costs $0.45 per 1M input tokens and $0.70 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.47 per 1M tokens. Pricing may vary by provider.

No, Mixtral 8x7B Instruct is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.

Mixtral 8x7B Instruct supports text only input.

Mixtral 8x7B Instruct supports text only output.

No, Mixtral 8x7B Instruct does not support image input. It can only process text.

No, Mixtral 8x7B Instruct is not multimodal. It only supports text only input.

Mixtral 8x7B Instruct has a context window of 33k tokens. This determines how much text and conversation history the model can process in a single request.

Yes, Mixtral 8x7B Instruct is open weights. The model weights are publicly available and can be downloaded for self-hosting.

Mixtral 8x7B Instruct has 46.7 billion parameters (12.9 billion active).

Mixtral 8x7B Instruct is a Mixture of Experts (MoE) model with 46.7 billion total parameters, but only 12.9 billion active parameters are used during inference.

Mixtral 8x7B Instruct is released under the Apache 2.0 license. This license allows commercial use.

Mixtral 8x7B Instruct achieves a score of 2 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.

Yes, Mixtral 8x7B Instruct is available via API through 1 provider.

Mixtral 8x7B Instruct is available through 1 API provider.