Understand and compare
GPT-4
vs.
Llama 2 Chat 70B
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
GPT-4 was released
4 months before
Llama 2 Chat 70B.
GPT-4
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
Meta
|
|
Input Context Window
The number of tokens supported by the input context window.
|
8,192
tokens
|
4,096
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
8,192
tokens
|
2,048
tokens
|
|
Release Date
When the model was first released.
|
2023-03-14
|
2023-07-18
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
September 2021
|
September 2022
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
|
GPT-4
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$30.00
per million tokens
|
Pricing not available.
|
|
Output
Cost of output tokens generated by the model.
|
$60.00
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between GPT-4
and Llama 2 Chat 70B.
|
GPT-4
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
86.4
(5-shot)
|
68.9
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
34.9
|
30.1
|
|
HellaSwag
A challenging sentence completion benchmark.
|
95.3
(10-shot)
|
85.3
(0-shot)
|
|
GSM8K
Grade-school math problems benchmark.
|
92.0
(5-shot)
|
56.8
(8-shot)
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
67.0
(0-shot)
|
29.9
(0-shot)
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
Benchmark not available.
|
Benchmark not available.
|
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.
Llama 2 Chat 70B, developed by Meta, features a context window of 4096 tokens. The model was released on July 18, 2023, and has achieved a score of 30.1 in the MMMU benchmark and 68.9 in the MMLU benchmark.
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