Compare Claude 3 Opus vs. Gemini Pro

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Understand and compare Claude 3 Opus vs. Gemini Pro

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

Overview

Claude 3 Opus was released 3 months after Gemini Pro.

	Claude 3 Opus	Gemini Pro
Provider The entity that provides this model.	Anthropic	Google
Input Context Window The number of tokens supported by the input context window.	200K 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.	March 4th, 2024 4 months ago 2024-03-04	December 13th, 2023 7 months ago 2023-12-13

Pricing

	Claude 3 Opus	Gemini Pro
Input Cost of input data provided to the model.	$15.00 per million tokens	Pricing not available.
Output Cost of output tokens generated by the model.	$75.00 per million tokens	Pricing not available.

Benchmarks

Compare relevant benchmarks between Claude 3 Opus and Gemini Pro.

	Claude 3 Opus	Gemini Pro
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	88.2 (5-shot CoT) Source	71.8 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	59.4 Source	47.9 (pass@1) Source
HellaSwag A challenging sentence completion benchmark.	95.4 (10-shot) Source	Benchmark not available.

Claude 3 Opus, developed by Anthropic, features a context window of 200,000 tokens. The model costs 1.5 cents per thousand tokens for input and 7.5 cents per thousand tokens for output. It was released on March 4, 2024, and has achieved impressive scores in benchmarks like HellaSwag with a score of 95.4 in a 10-shot scenario, MMLU with a score of 88.2 in a 5-shot CoT scenario, and MMMU with a score of 59.4.

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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