Understand and compare
Mistral Large
vs.
GPT-4 Turbo 1106
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Overview
Mistral Large was released
4 months after
GPT-4 Turbo 1106.
Mistral Large
|
GPT-4 Turbo 1106
|
|
|---|---|---|
|
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
|
4,096
tokens
|
|
Release Date
When the model was first released.
|
2024-02-26
|
2023-11-06
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
Unknown
|
April 2023
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
Mistral Large is
roughly 20.0% cheaper compared
to GPT-4 Turbo 1106 for input tokens and
roughly 3.7x cheaper
for output tokens.
|
Mistral Large
|
GPT-4 Turbo 1106
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$8.00
per million tokens
|
$10.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$8.00
per million tokens
|
$30.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Mistral Large
and GPT-4 Turbo 1106.
|
Mistral Large
|
GPT-4 Turbo 1106
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
81.2
(5-shot)
|
84.7
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
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.
|
83.7
(0-shot)
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
Benchmark not available.
|
64.3
(0-shot)
|
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).
GPT-4 Turbo 1106, 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 November 6, 2023.
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