Understand and compare
GPT-3.5 Turbo
vs.
Llama 2 Chat 13B
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
GPT-3.5 Turbo was released
8 months before
Llama 2 Chat 13B.
GPT-3.5 Turbo
|
Llama 2 Chat 13B
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
Meta
|
|
Input Context Window
The number of tokens supported by the input context window.
|
4,096
tokens
|
4,096
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.
|
2022-11-28
|
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-3.5 Turbo
|
Llama 2 Chat 13B
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.50
per million tokens
|
Pricing not available.
|
|
Output
Cost of output tokens generated by the model.
|
$1.50
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo
and Llama 2 Chat 13B.
|
GPT-3.5 Turbo
|
Llama 2 Chat 13B
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
70.0
(5-shot)
|
54.8
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
85.5
(10-shot)
|
80.7
(10-shot)
|
|
GSM8K
Grade-school math problems benchmark.
|
Benchmark not available.
|
28.7
(8-shot)
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
Benchmark not available.
|
18.3
(0-shot)
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
43.1
(0-shot)
|
Benchmark not available.
|
GPT-3.5 Turbo, developed by OpenAI, features a context window of 4096 tokens. It is priced at 0.05 cents per thousand tokens for input and 0.15 cents per thousand tokens for output. The model was released on November 28, 2022, and has achieved high scores in benchmarks like HellaSwag (85.5 in a 10-shot scenario) and MMLU (70.0 in a 5-shot scenario).
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.
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