Compare Mistral Large vs. Gemini Pro

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Understand and compare Mistral Large vs. Gemini Pro

Generate side-by-side samples for these models in the Context.ai playground

Overview

Mistral Large was released 3 months after Gemini Pro.

	Mistral Large	Gemini Pro
Provider The entity that provides this model.	Mistral	Google
Input Context Window The number of tokens supported by the input context window.	32K tokens	32.8K characters
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	4,096 tokens	8,192 characters
Release Date When the model was first released.	February 26th, 2024 4 months ago 2024-02-26	December 13th, 2023 7 months ago 2023-12-13

Pricing

	Mistral Large	Gemini Pro
Input Cost of input data provided to the model.	$8.00 per million tokens	Pricing not available.
Output Cost of output tokens generated by the model.	$8.00 per million tokens	Pricing not available.

Benchmarks

Compare relevant benchmarks between Mistral Large and Gemini Pro.

	Mistral Large	Gemini Pro
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	81.2 (5-shot) Source	71.8 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	47.9 (pass@1) Source
HellaSwag A challenging sentence completion benchmark.	89.2 (10-shot) Source	Benchmark not available.

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).

Gemini Pro, developed by Google, features a context window of 32768 tokens. The model costs 0.0125 cents per thousand tokens for input and 0.0375 cents per thousand tokens for output. It was released on December 13, 2023, and has achieved a score of 47.9 in the MMMU benchmark with a "pass@1" caveat and a score of 71.8 in the MMLU benchmark in a 5-shot scenario.

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