Mistral 8x7B Instruct, developed by Mistral, features a context window of 32000 tokens. The model costs 0.07 cents per thousand tokens for both input and output. It was released on December 11, 2023, and achieved a score of 70.6 in the MMLU benchmark in a 5-shot scenario.
Overview
Mistral 8x7B Instruct
Provider
The entity that provides this model.
Mistral
Input Context Window
The number of tokens supported by the input context window.
32K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
4,096
tokens
Open Source
Whether the model's code is available for public use.
Yes
Release Date
When the model was first released.
2023-12-11
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. (This is not an exhaustive list.)
Empirical Throughput
The number of tokens the model can generate per second.
Pricing
Mistral 8x7B Instruct
Input
Cost of input data provided to the model.
$0.70
per million tokens
Output
Cost of output tokens generated by the model.
$0.70
per million tokens
Benchmarks
Mistral 8x7B Instruct
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
70.6
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
Benchmark not available.
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
Benchmark not available.
Measure & Improve LLM Product Performance.
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