Understand and compare
Mistral 8x7B Instruct
vs.
Llama 2 Chat 13B
Overview
Mistral 8x7B Instruct was released
5 months after
Llama 2 Chat 13B.
Mistral 8x7B Instruct
|
Llama 2 Chat 13B
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Mistral
|
Meta
|
|
Input Context Window
The number of tokens supported by the input context window.
|
32K
tokens
|
4,096
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
4,096
tokens
|
2,048
tokens
|
|
Release Date
When the model was first released.
|
2023-12-11
|
2023-07-18
|
Pricing
|
Mistral 8x7B Instruct
|
Llama 2 Chat 13B
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.70
per million tokens
|
Pricing not available.
|
|
Output
Cost of output tokens generated by the model.
|
$0.70
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between Mistral 8x7B Instruct
and Llama 2 Chat 13B.
|
Mistral 8x7B Instruct
|
Llama 2 Chat 13B
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
70.6
(5-shot)
|
54.8
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
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.
Llama 2 Chat 13B, developed by Meta, features a context window of 4096 tokens. The model was released on July 18, 2023, and achieved a score of 54.8 in the MMLU benchmark.
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