Compare Llama 3.1 70B Instruct vs. Llama 2 Chat 13B

Pricing About Us Blog Docs

Compare

to

Understand and compare Llama 3.1 70B Instruct vs. Llama 2 Chat 13B

Turn your documents into engaging podcast discussions.

Overview

Llama 3.1 70B Instruct was released about 1 year after Llama 2 Chat 13B.

	Llama 3.1 70B Instruct	Llama 2 Chat 13B
Provider The entity that provides this model.	Meta	Meta
Input Context Window The number of tokens supported by the input context window.	128K tokens	4,096 tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	2,048 tokens	2,048 tokens
Release Date When the model was first released.	July 23rd, 2024 3 months ago 2024-07-23	July 18th, 2023 over 1 year ago 2023-07-18
Knowledge Cutoff Limit on the knowledge base used by the model.	December 2023 December 2023	September 2022 September 2022
Open Source	Yes	Yes
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	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, NVIDIA NIM, IBM watsonx

Pricing

	Llama 3.1 70B Instruct	Llama 2 Chat 13B
Input Cost of input data provided to the model.	Pricing not available.	Pricing not available.
Output Cost of output tokens generated by the model.	Pricing not available.	Pricing not available.

Benchmarks

Compare relevant benchmarks between Llama 3.1 70B Instruct and Llama 2 Chat 13B.

	Llama 3.1 70B Instruct	Llama 2 Chat 13B
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	83.6 (5-shot) Source	54.8 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.	80.7 (10-shot) Source
GSM8K Grade-school math problems benchmark.	95.1 (8-shot) Source	28.7 (8-shot) Source
HumanEval A benchmark to measure functional correctness for synthesizing programs from docstrings.	Benchmark not available.	18.3 (0-shot) Source
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.

GPT-3.5 Turbo 1106

Llama 3.1 70B Instruct vs.

Llama 3.1 8B Instruct

Llama 3.1 70B Instruct vs.

Llama 3.1 70B Instruct vs.

Llama 2 Chat 13B vs.

Llama 2 Chat 13B vs.

GPT-4 Turbo 0125

Llama 2 Chat 13B vs.

Mistral 8x7B Instruct

Llama 2 Chat 13B vs.

GPT-3.5 Turbo 16K

Measure & Improve LLM Product Performance.