Understand and compare
Mistral 8x7B Instruct
vs.
GPT-4 32K
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Podial
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Overview
Mistral 8x7B Instruct was released
9 months after
GPT-4 32K.
Mistral 8x7B Instruct
|
GPT-4 32K
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Mistral
|
OpenAI
|
|
Input Context Window
The number of tokens supported by the input context window.
|
32K
tokens
|
32.8K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
4,096
tokens
|
Not specified.
|
|
Release Date
When the model was first released.
|
2023-12-11
|
2023-03-14
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
Unknown
|
Unknown
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
Mistral 8x7B Instruct is
roughly 86x cheaper compared
to GPT-4 32K for input tokens and
roughly 171x cheaper
for output tokens.
|
Mistral 8x7B Instruct
|
GPT-4 32K
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.70
per million tokens
|
$60.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$0.70
per million tokens
|
$120.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Mistral 8x7B Instruct
and GPT-4 32K.
|
Mistral 8x7B Instruct
|
GPT-4 32K
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
70.6
(5-shot)
|
Benchmark not available.
|
|
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.
|
|
GSM8K
Grade-school math problems benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
Benchmark not available.
|
Benchmark not available.
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
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.
GPT-4 32K, developed by OpenAI, features a context window of 32768 tokens. The model costs 6.0 cents per thousand tokens for input and 12.0 cents per thousand tokens for output. It was released on March 14, 2023.
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