Understand and compare
GPT-4 Turbo 2024-04-09
vs.
Mistral Large
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Podial
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Overview
GPT-4 Turbo 2024-04-09 was released
about 1 month after
Mistral Large.
GPT-4 Turbo 2024-04-09
|
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.
|
4,096
tokens
|
4,096
tokens
|
|
Release Date
When the model was first released.
|
2024-04-09
|
2024-02-26
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
December 2023
|
Unknown
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
GPT-4 Turbo 2024-04-09 is
roughly 25.0% more expensive compared
to Mistral Large for input tokens and
roughly 3.8x more expensive
for output tokens.
|
GPT-4 Turbo 2024-04-09
|
Mistral Large
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$10.00
per million tokens
|
$8.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$30.00
per million tokens
|
$8.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-4 Turbo 2024-04-09
and Mistral Large.
|
GPT-4 Turbo 2024-04-09
|
Mistral Large
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
86.7
(5-shot)
|
81.2
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
89.2
(10-shot)
|
|
GSM8K
Grade-school math problems benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
88.2
(0-shot)
|
Benchmark not available.
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
73.4
(0-shot)
|
Benchmark not available.
|
GPT-4 Turbo 2024-04-09, developed by OpenAI, features an impressive context window of 128,000 tokens. The model costs 1.0 cent per thousand tokens for input and 3.0 cents per thousand tokens for output. It is set to be released on April 9, 2024.
Mistral Large, developed by Mistral, features a context window of 32000 tokens. The model is priced at 0.8 cents per thousand tokens for both input and output. It was released on February 26, 2024, and has achieved impressive scores in benchmarks like MMLU (81.2 in a 5-shot scenario) and HellaSwag (89.2 in a 10-shot scenario).
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