Understand and compare
Llama 2 Chat 13B
vs.
GPT-3.5 Turbo
Overview
Llama 2 Chat 13B was released
8 months after
GPT-3.5 Turbo.
Llama 2 Chat 13B
|
GPT-3.5 Turbo
|
|
---|---|---|
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
|
4,096
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
tokens
|
4,096
tokens
|
Release Date
When the model was first released.
|
2023-07-18
|
2022-11-28
|
Pricing
Llama 2 Chat 13B
|
GPT-3.5 Turbo
|
|
---|---|---|
Input
Cost of input data provided to the model.
|
Pricing not available.
|
$0.50
per million tokens
|
Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
$1.50
per million tokens
|
Benchmarks
Compare relevant benchmarks between Llama 2 Chat 13B
and GPT-3.5 Turbo.
Llama 2 Chat 13B
|
GPT-3.5 Turbo
|
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
54.8
|
70.0
(5-shot)
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
85.5
(10-shot)
|
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-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).
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