Compare Llama 3.1 70B Instruct vs. Claude 3 Sonnet

Pricing About Us Blog Docs

Compare

to

Understand and compare Llama 3.1 70B Instruct vs. Claude 3 Sonnet

Turn your documents into engaging podcast discussions.

Overview

Llama 3.1 70B Instruct was released 5 months after Claude 3 Sonnet.

	Llama 3.1 70B Instruct	Claude 3 Sonnet
Provider The entity that provides this model.	Meta	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.	2,048 tokens	4,096 tokens
Release Date When the model was first released.	July 23rd, 2024 5 months ago 2024-07-23	March 4th, 2024 10 months ago 2024-03-04
Knowledge Cutoff Limit on the knowledge base used by the model.	December 2023 December 2023	August 2023 August 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	Anthropic, AWS Bedrock, Google Cloud Vertex AI Model Garden

Pricing

	Llama 3.1 70B Instruct	Claude 3 Sonnet
Input Cost of input data provided to the model.	Pricing not available.	$3.00 per million tokens
Output Cost of output tokens generated by the model.	Pricing not available.	$15.00 per million tokens

Benchmarks

Compare relevant benchmarks between Llama 3.1 70B Instruct and Claude 3 Sonnet.

	Llama 3.1 70B Instruct	Claude 3 Sonnet
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	83.6 (5-shot) Source	81.5 (5-shot CoT) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	53.1 Source
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	89.0 (10-shot) Source
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.	Benchmark not available.
MATH Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.	68.0 (0-shot) Source	Benchmark not available.

Compare more models

Llama 3.1 70B Instruct vs.

Llama 3 70B Instruct

Llama 3.1 70B Instruct vs.

Llama 2 Chat 70B

Llama 3.1 70B Instruct vs.

Llama 3.1 70B Instruct vs.

Llama 3.1 405B Instruct

Claude 3 Sonnet vs.

Claude 3 Sonnet vs.

Mistral 7B Instruct

Claude 3 Sonnet vs.

GPT-3.5 Turbo 16K

Claude 3 Sonnet vs.

Measure & Improve LLM Product Performance.