Understand and compare
Llama 2 Chat 13B
vs.
GPT-4 32K 0613
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
Llama 2 Chat 13B was released
about 1 month after
GPT-4 32K 0613.
Llama 2 Chat 13B
|
GPT-4 32K 0613
|
|
|---|---|---|
|
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
|
32.8K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
tokens
|
Not specified.
|
|
Release Date
When the model was first released.
|
2023-07-18
|
2023-06-13
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
September 2022
|
Unknown
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
|
Llama 2 Chat 13B
|
GPT-4 32K 0613
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
Pricing not available.
|
$60.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
$120.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Llama 2 Chat 13B
and GPT-4 32K 0613.
|
Llama 2 Chat 13B
|
GPT-4 32K 0613
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
54.8
|
Benchmark not available.
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
80.7
(10-shot)
|
Benchmark not available.
|
|
GSM8K
Grade-school math problems benchmark.
|
28.7
(8-shot)
|
Benchmark not available.
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
18.3
(0-shot)
|
Benchmark not available.
|
|
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 32K 0613, developed by OpenAI, features a context window of 32768 tokens. The model costs 6.0 cents per thousand tokens for input and 12.0 cents per thousand tokens for output. It was released on June 13, 2023.
Mistral Large 2
Chat Bison
Claude Instant 1.2
Measure & Improve LLM
Product Performance.
Get Started
© 2023-2024 Context