Compare Claude 2 vs. Gemini 1.5 Pro

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Understand and compare Claude 2 vs. Gemini 1.5 Pro

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

Overview

Claude 2 was released 7 months before Gemini 1.5 Pro.

	Claude 2	Gemini 1.5 Pro
Provider The entity that provides this model.	Anthropic	Google
Input Context Window The number of tokens supported by the input context window.	100K tokens	1M tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	Not specified.	8,192 tokens
Release Date When the model was first released.	July 11th, 2023 12 months ago 2023-07-11	February 15th, 2024 5 months ago 2024-02-15

Pricing

Claude 2 is roughly 14.3% more expensive compared to Gemini 1.5 Pro for input and output tokens.

	Claude 2	Gemini 1.5 Pro
Input Cost of input data provided to the model.	$8.00 per million tokens	$7.00 per million tokens
Output Cost of output tokens generated by the model.	$24.00 per million tokens	$21.00 per million tokens

Benchmarks

Compare relevant benchmarks between Claude 2 and Gemini 1.5 Pro.

	Claude 2	Gemini 1.5 Pro
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	78.5 (5-shot) Source	81.9 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	58.5 (0-shot) Source
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	Benchmark not available.

Claude 2, developed by Anthropic, features a large context window of 100,000 tokens. The model costs 0.8 cents per thousand tokens for input and 2.4 cents per thousand tokens for output. It was released on July 11, 2023, and has shown strong performance in the MMLU benchmark with a score of 78.5 in a 5-shot scenario.

Gemini 1.5 Pro by Google features a vast context window of 1,000,000 tokens. The model is priced at 0.7 cents per thousand tokens for input and 2.1 cents per thousand tokens for output. It was launched on February 15, 2024. In benchmark tests, it achieved a score of 58.5 in MMMU with a 0-shot scenario and 81.9 in MMLU with a 5-shot scenario.

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