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Understand and compare GPT-4o Mini vs. Mistral 7B Instruct
Overview
GPT-4o Mini was released 10 months after Mistral 7B Instruct.
GPT-4o Mini
Mistral 7B Instruct
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.
16.4K
tokens
8,192
tokens
Release Date
When the model was first released.
2024-07-18
2023-09-27
Knowledge Cutoff
Limit on the knowledge base used by the model.
October 2023
Unknown
Open Source
API Providers
The providers that offer this model. (This is not an exhaustive list.)
Pricing
GPT-4o Mini is roughly 40.0% cheaper compared to Mistral 7B Instruct for input tokens and roughly 2.4x more expensive for output tokens.
GPT-4o Mini
Mistral 7B Instruct
Input
Cost of input data provided to the model.
$0.15
per million tokens
$0.25
per million tokens
Output
Cost of output tokens generated by the model.
$0.60
per million tokens
$0.25
per million tokens
Benchmarks
Compare relevant benchmarks between GPT-4o Mini and Mistral 7B Instruct.
GPT-4o Mini
Mistral 7B Instruct
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
82.0
(5-shot)
60.1
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
59.4
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.
87.2
(0-shot)
Benchmark not available.
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
70.2
(0-shot)
Benchmark not available.
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