Understand and compare
Mistral 7B Instruct
vs.
GPT-4 32K 0613
Overview
Mistral 7B Instruct was released
4 months after
GPT-4 32K 0613.
Mistral 7B Instruct
|
GPT-4 32K 0613
|
|
|---|---|---|
|
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.
|
8,192
tokens
|
Not specified.
|
|
Release Date
When the model was first released.
|
2023-09-27
|
2023-06-13
|
Pricing
Mistral 7B Instruct is
roughly 240x cheaper compared
to GPT-4 32K 0613 for input tokens and
roughly 480x cheaper
for output tokens.
|
Mistral 7B Instruct
|
GPT-4 32K 0613
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.25
per million tokens
|
$60.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$0.25
per million tokens
|
$120.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Mistral 7B Instruct
and GPT-4 32K 0613.
|
Mistral 7B Instruct
|
GPT-4 32K 0613
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
60.1
(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.
|
Mistral 7B Instruct, developed by Mistral, features a large context window of 32000 tokens. The model is priced at 0.025 cents per thousand tokens for both input and output. It was released on September 27, 2023, and achieved a score of 60.1 in the MMLU benchmark under a 5-shot scenario.
GPT-4 32K 0613, 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 June 13, 2023.
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