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Overview
Mistral Large was released 3 months before GPT-4o 2024-05-13.
Mistral Large
GPT-4o 2024-05-13
Provider
The entity that provides this model.
Mistral
OpenAI
Input Context Window
The number of tokens supported by the input context window.
32K
tokens
128K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
4,096
tokens
2,048
tokens
Release Date
When the model was first released.
2024-02-26
2024-05-13
Knowledge Cutoff
Limit on the knowledge base used by the model.
Unknown
October 2023
Open Source
API Providers
The providers that offer this model. (This is not an exhaustive list.)
Pricing
Mistral Large is roughly 60.0% more expensive compared to GPT-4o 2024-05-13 for input tokens and roughly 46.7% cheaper for output tokens.
Mistral Large
GPT-4o 2024-05-13
Input
Cost of input data provided to the model.
$8.00
per million tokens
$5.00
per million tokens
Output
Cost of output tokens generated by the model.
$8.00
per million tokens
$15.00
per million tokens
Benchmarks
Compare relevant benchmarks between Mistral Large and GPT-4o 2024-05-13.
Mistral Large
GPT-4o 2024-05-13
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
81.2
(5-shot)
88.7
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
69.1
HellaSwag
A challenging sentence completion benchmark.
89.2
(10-shot)
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.
91.0
(0-shot)
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
Benchmark not available.
Benchmark not available.
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