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Gemini 1.0 Pro vs Mistral Large 2: Benchmarks, Pricing, and Context Window Comparison

Gemini 1.0 Pro vs Mistral Large 2 compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.

Verdict

Mistral Large 2 has lower listed token pricing, while Gemini 1.0 Pro can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
Gemini 1.0 Pro
to
Mistral Large 2
Overview
Gemini 1.0 Pro was released 7 months before Mistral Large 2.
Gemini 1.0 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.
32.8K
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.
2023-12-13
2024-07-24
Leaderboard
Gemini 1.0 Pro
Mistral Large 2
Rank
25
Unknown
Arena Elo
1115
Not specified.
95% CI
+6/-6
Not specified.
Votes
6818
Not specified.
License
Proprietary
Not specified.
Knowledge Cutoff
4/2023
Unknown
Pricing
Gemini 1.0 Pro
Mistral Large 2
Input
Cost of input data provided to the model.
$12.50
per million tokens
$3.00
per million tokens
Output
Cost of output tokens generated by the model.
$37.50
per million tokens
$9.00
per million tokens
Benchmarks
Compare relevant benchmarks between Gemini 1.0 Pro and Mistral Large 2 Instruct.
Gemini 1.0 Pro
Mistral Large 2
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
71.8
(5-shot)
Source
84
(5-shot)
Source
MMMU
A wide ranging multi-discipline and multimodal benchmark.
47.9
Source
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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Mirai Minds