Compare Gemini 1.5 Pro vs. GPT-4

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Understand and compare Gemini 1.5 Pro vs. GPT-4

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

Overview

Gemini 1.5 Pro was released 11 months after GPT-4.

	Gemini 1.5 Pro	GPT-4
Provider The entity that provides this model.	Google	OpenAI
Input Context Window The number of tokens supported by the input context window.	1M tokens	8,192 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.	February 15th, 2024 5 months ago 2024-02-15	March 14th, 2023 over 1 year ago 2023-03-14

Pricing

Gemini 1.5 Pro is roughly 4.3x cheaper compared to GPT-4 for input tokens and roughly 2.9x cheaper for output tokens.

	Gemini 1.5 Pro	GPT-4
Input Cost of input data provided to the model.	$7.00 per million tokens	$30.00 per million tokens
Output Cost of output tokens generated by the model.	$21.00 per million tokens	$60.00 per million tokens

Benchmarks

Compare relevant benchmarks between Gemini 1.5 Pro and GPT-4.

	Gemini 1.5 Pro	GPT-4
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	81.9 (5-shot) Source	86.4 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	58.5 (0-shot) Source	34.9 Source
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	95.3 (10-shot) Source

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.

GPT-4, developed by OpenAI, features a context window of 8192 tokens. The model costs 3.0 cents per thousand tokens for input and 6.0 cents per thousand tokens for output. It was released on March 14, 2023, and has achieved impressive scores in benchmarks like HellaSwag with a score of 95.3 in a 10-shot scenario and MMLU with a score of 86.4 in a 5-shot scenario.

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