Compare GPT-4 Turbo 1106 vs. Claude Instant 1.2

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Understand and compare GPT-4 Turbo 1106 vs. Claude Instant 1.2

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

Overview

GPT-4 Turbo 1106 was released 3 months after Claude Instant 1.2.

	GPT-4 Turbo 1106	Claude Instant 1.2
Provider The entity that provides this model.	OpenAI	Anthropic
Input Context Window The number of tokens supported by the input context window.	128K tokens	100K tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	4,096 tokens	Not specified.
Release Date When the model was first released.	November 6th, 2023 8 months ago 2023-11-06	August 9th, 2023 11 months ago 2023-08-09

Pricing

GPT-4 Turbo 1106 is roughly 13x more expensive compared to Claude Instant 1.2 for input and output tokens.

	GPT-4 Turbo 1106	Claude Instant 1.2
Input Cost of input data provided to the model.	$10.00 per million tokens	$0.80 per million tokens
Output Cost of output tokens generated by the model.	$30.00 per million tokens	$2.40 per million tokens

Benchmarks

Compare relevant benchmarks between GPT-4 Turbo 1106 and Claude Instant 1.2.

	GPT-4 Turbo 1106	Claude Instant 1.2
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	Benchmark not available.	73.4 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	Benchmark not available.
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	Benchmark not available.

GPT-4 Turbo 1106, developed by OpenAI, features an impressive 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 Instant 1.2, created by Anthropic, features a context window of 100,000 tokens. The model is priced at 0.8 cents per thousand tokens for input and 2.4 cents per thousand tokens for output. It was launched on August 9, 2023, and has shown strong performance in the MMLU benchmark with a score of 73.4 in a 5-shot scenario.

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