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Gemini Ultra vs Mistral Large: Benchmarks, Pricing, and Context Window Comparison

Gemini Ultra vs Mistral Large 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

Use pricing, benchmark scores, context window limits, and release recency together to choose between Gemini Ultra and Mistral Large.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
Gemini Ultra
to
Mistral Large
Overview
Gemini Ultra was released the same time Mistral Large.
Gemini Ultra
Mistral Large
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
32K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
4,096
tokens
Release Date
When the model was first released.
2024-02-08
2024-02-26
Leaderboard
Gemini Ultra
Mistral Large
Rank
Unknown
Unknown
Arena Elo
Not specified.
Not specified.
95% CI
Not specified.
Not specified.
Votes
Not specified.
Not specified.
License
Not specified.
Not specified.
Knowledge Cutoff
Unknown
Unknown
Pricing
Gemini Ultra
Mistral Large
Input
Cost of input data provided to the model.
Pricing not available.
$8.00
per million tokens
Output
Cost of output tokens generated by the model.
Pricing not available.
$8.00
per million tokens
Benchmarks
Compare relevant benchmarks between Gemini Ultra and Mistral Large Instruct.
Gemini Ultra
Mistral Large
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
83.7
(5-shot)
Source
81.2
(5-shot)
Source
MMMU
A wide ranging multi-discipline and multimodal benchmark.
59.4
Source
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
89.2
(10-shot)
Source

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