Compare Claude 3.5 Sonnet vs. Llama 3.1 70B Instruct

Pricing About Us Blog Docs

Compare

to

Understand and compare Claude 3.5 Sonnet vs. Llama 3.1 70B Instruct

Turn your documents into engaging podcast discussions.

Overview

Claude 3.5 Sonnet was released about 1 month before Llama 3.1 70B Instruct.

	Claude 3.5 Sonnet	Llama 3.1 70B Instruct
Provider The entity that provides this model.	Anthropic	Meta
Input Context Window The number of tokens supported by the input context window.	200K tokens	128K tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	4,096 tokens	2,048 tokens
Release Date When the model was first released.	June 20th, 2024 5 months ago 2024-06-20	July 23rd, 2024 4 months ago 2024-07-23
Knowledge Cutoff Limit on the knowledge base used by the model.	April 2024 April 2024	December 2023 December 2023
Open Source	No	Yes
API Providers The providers that offer this model. (This is not an exhaustive list.)	Anthropic, AWS Bedrock, Google Cloud Vertex AI Model Garden	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, NVIDIA NIM, IBM watsonx

Pricing

	Claude 3.5 Sonnet	Llama 3.1 70B Instruct
Input Cost of input data provided to the model.	$3.00 per million tokens	Pricing not available.
Output Cost of output tokens generated by the model.	$15.00 per million tokens	Pricing not available.

Benchmarks

Compare relevant benchmarks between Claude 3.5 Sonnet and Llama 3.1 70B Instruct.

	Claude 3.5 Sonnet	Llama 3.1 70B Instruct
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	90.4 (5-shot CoT) Source	83.6 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	68.3 (0-shot CoT) Source	Benchmark not available.
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	Benchmark not available.
GSM8K Grade-school math problems benchmark.	Benchmark not available.	95.1 (8-shot) Source
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.	71.1 (0-shot) Source	68.0 (0-shot) Source

Compare more models

Claude 3.5 Sonnet vs.

GPT-4 Turbo 0125

Claude 3.5 Sonnet vs.

Mistral Large 2

Claude 3.5 Sonnet vs.

Claude 3.5 Sonnet vs.

Llama 3.1 70B Instruct vs.

Llama 3 8B Instruct

Llama 3.1 70B Instruct vs.

GPT-4 Turbo 0125

Llama 3.1 70B Instruct vs.

Llama 3.1 70B Instruct vs.

Measure & Improve LLM Product Performance.