Compare Llama 3.1 70B Instruct vs. GPT-4 Turbo 0125

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Overview

Llama 3.1 70B Instruct was released 6 months after GPT-4 Turbo 0125.

	Llama 3.1 70B Instruct	GPT-4 Turbo 0125
Provider The entity that provides this model.	Meta	OpenAI
Input Context Window The number of tokens supported by the input context window.	128K tokens	128K tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	2,048 tokens	4,096 tokens
Release Date When the model was first released.	July 23rd, 2024 4 months ago 2024-07-23	January 25th, 2024 10 months ago 2024-01-25
Knowledge Cutoff Limit on the knowledge base used by the model.	December 2023 December 2023	December 2023 December 2023
Open Source	Yes	No
API Providers The providers that offer this model. (This is not an exhaustive list.)	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, NVIDIA NIM, IBM watsonx	OpenAI

Pricing

	Llama 3.1 70B Instruct	GPT-4 Turbo 0125
Input Cost of input data provided to the model.	Pricing not available.	$10.00 per million tokens
Output Cost of output tokens generated by the model.	Pricing not available.	$30.00 per million tokens

Benchmarks

Compare relevant benchmarks between Llama 3.1 70B Instruct and GPT-4 Turbo 0125.

	Llama 3.1 70B Instruct	GPT-4 Turbo 0125
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	83.6 (5-shot) Source	85.4 (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.
GSM8K Grade-school math problems benchmark.	95.1 (8-shot) Source	Benchmark not available.
HumanEval A benchmark to measure functional correctness for synthesizing programs from docstrings.	Benchmark not available.	86.6 (0-shot) Source
MATH Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.	68.0 (0-shot) Source	64.5 (0-shot) Source

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