Understand and compare
GPT-4o
vs.
Mistral Large
Overview
GPT-4o was released
3 months after
Mistral Large.
GPT-4o
|
Mistral Large
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
Mistral
|
|
Input Context Window
The number of tokens supported by the input context window.
|
128K
tokens
|
32K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
tokens
|
4,096
tokens
|
|
Release Date
When the model was first released.
|
2024-05-13
|
2024-02-26
|
Pricing
GPT-4o is
roughly 37.5% cheaper compared
to Mistral Large for input tokens and
roughly 87.5% more expensive
for output tokens.
|
GPT-4o
|
Mistral Large
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$5.00
per million tokens
|
$8.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$15.00
per million tokens
|
$8.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-4o
and Mistral Large.
|
GPT-4o
|
Mistral Large
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
88.7
(5-shot)
|
81.2
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
69.1
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
89.2
(10-shot)
|
Claude Instant 1.2
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