Understand and compare
Mistral 7B Instruct
vs.
GPT-4 0613
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
Mistral 7B Instruct was released
4 months after
GPT-4 0613.
Mistral 7B Instruct
|
GPT-4 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
|
8,192
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
8,192
tokens
|
8,192
tokens
|
|
Release Date
When the model was first released.
|
2023-09-27
|
2023-06-13
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
Unknown
|
September 2021
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
Mistral 7B Instruct is
roughly 120x cheaper compared
to GPT-4 0613 for input tokens and
roughly 240x cheaper
for output tokens.
|
Mistral 7B Instruct
|
GPT-4 0613
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.25
per million tokens
|
$30.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$0.25
per million tokens
|
$60.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Mistral 7B Instruct
and GPT-4 0613.
|
Mistral 7B Instruct
|
GPT-4 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.
|
|
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 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 0613, developed by OpenAI, features a context window of 8192 tokens. The model costs 3.0 cents per thousand tokens for input and 6.0 cents per thousand tokens for output. It was released on June 13, 2023.
Claude 2.1
Llama 3.1 70B Instruct
Measure & Improve LLM
Product Performance.
Get Started
© 2023-2024 Context