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Overview
Gemini 1.5 Pro was released 5 months before Mistral Large 2.
Gemini 1.5 Pro
Mistral Large 2
Provider
The entity that provides this model.
Google
Mistral
Input Context Window
The number of tokens supported by the input context window.
1M
tokens
128K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
8,192
tokens
Release Date
When the model was first released.
2024-02-15
2024-07-24
Knowledge Cutoff
Limit on the knowledge base used by the model.
November 2023
Unknown
Open Source
API Providers
The providers that offer this model. (This is not an exhaustive list.)
Pricing
Gemini 1.5 Pro is roughly 2.3x more expensive compared to Mistral Large 2 for input and output tokens.
Gemini 1.5 Pro
Mistral Large 2
Input
Cost of input data provided to the model.
$7.00
per million tokens
$3.00
per million tokens
Output
Cost of output tokens generated by the model.
$21.00
per million tokens
$9.00
per million tokens
Benchmarks
Compare relevant benchmarks between Gemini 1.5 Pro and Mistral Large 2.
Gemini 1.5 Pro
Mistral Large 2
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
81.9
(5-shot)
84.0
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
58.5
(0-shot)
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
93.3
(10-shot)
Benchmark not available.
GSM8K
Grade-school math problems benchmark.
90.8
(11-shot)
Benchmark not available.
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
84.1
(0-shot)
Benchmark not available.
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
67.7
(4-shot Minerva Prompt)
Benchmark not available.
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