Compare Llama 2 Chat 13B vs. GPT-4

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Overview

Llama 2 Chat 13B was released 4 months after GPT-4.

	Llama 2 Chat 13B	GPT-4
Provider The entity that provides this model.	Meta	OpenAI
Input Context Window The number of tokens supported by the input context window.	4,096 tokens	8,192 tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	2,048 tokens	8,192 tokens
Release Date When the model was first released.	July 18th, 2023 over 1 year ago 2023-07-18	March 14th, 2023 almost 2 years ago 2023-03-14
Knowledge Cutoff Limit on the knowledge base used by the model.	September 2022 September 2022	September 2021 September 2021
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 2 Chat 13B	GPT-4
Input Cost of input data provided to the model.	Pricing not available.	$30.00 per million tokens
Output Cost of output tokens generated by the model.	Pricing not available.	$60.00 per million tokens

Benchmarks

Compare relevant benchmarks between Llama 2 Chat 13B and GPT-4.

	Llama 2 Chat 13B	GPT-4
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	54.8 Source	86.4 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	34.9 Source
HellaSwag A challenging sentence completion benchmark.	80.7 (10-shot) Source	95.3 (10-shot) Source
GSM8K Grade-school math problems benchmark.	28.7 (8-shot) Source	92.0 (5-shot) Source
HumanEval A benchmark to measure functional correctness for synthesizing programs from docstrings.	18.3 (0-shot) Source	67.0 (0-shot) Source
MATH Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.	Benchmark not available.	Benchmark not available.

Llama 2 Chat 13B, developed by Meta, features a context window of 4096 tokens. The model was released on July 18, 2023, and achieved a score of 54.8 in the MMLU benchmark.

GPT-4, developed by OpenAI, features a context window of 8192 tokens. The model costs 3.0 cents per thousand tokens for input and 6.0 cents per thousand tokens for output. It was released on March 14, 2023, and has achieved impressive scores in benchmarks like HellaSwag with a score of 95.3 in a 10-shot scenario and MMLU with a score of 86.4 in a 5-shot scenario.

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