Compare GPT-4 Turbo vs. Claude 3 Haiku

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Understand and compare GPT-4 Turbo vs. Claude 3 Haiku

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

Overview

GPT-4 Turbo was released 4 months before Claude 3 Haiku.

	GPT-4 Turbo	Claude 3 Haiku
Provider The entity that provides this model.	OpenAI	Anthropic
Input Context Window The number of tokens supported by the input context window.	128K tokens	200K tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	4,096 tokens	4,096 tokens
Release Date When the model was first released.	November 6th, 2023 9 months ago 2023-11-06	March 13th, 2024 5 months ago 2024-03-13

Pricing

GPT-4 Turbo is roughly 40x more expensive compared to Claude 3 Haiku for input tokens and roughly 24x more expensive for output tokens.

	GPT-4 Turbo	Claude 3 Haiku
Input Cost of input data provided to the model.	$10.00 per million tokens	$0.25 per million tokens
Output Cost of output tokens generated by the model.	$30.00 per million tokens	$1.25 per million tokens

Benchmarks

Compare relevant benchmarks between GPT-4 Turbo and Claude 3 Haiku.

	GPT-4 Turbo	Claude 3 Haiku
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	Benchmark not available.	76.7 (5-shot CoT) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	50.2 Source
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	85.9 (10-shot) Source

GPT-4 Turbo, developed by OpenAI, features a large context window of 128,000 tokens. The model costs 1.0 cent per thousand tokens for input and 3.0 cents per thousand tokens for output. It is set to be released on November 6, 2023.

Claude 3 Haiku, developed by Anthropic, features a context window of 200,000 tokens. The model costs 0.025 cents per thousand tokens for input and 0.125 cents per thousand tokens for output. It was released on March 13, 2024. In benchmarks, it achieved a score of 50.2 in MMMU, 85.9 in HellaSwag in a 10-shot scenario, and 76.7 in MMLU in a 5-shot CoT scenario.

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