Understand and compare
Llama 2 Chat 70B
vs.
GPT-3.5 Turbo
Overview
Llama 2 Chat 70B was released
8 months after
GPT-3.5 Turbo.
Llama 2 Chat 70B
|
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 70B
|
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 70B
and GPT-3.5 Turbo.
|
Llama 2 Chat 70B
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
68.9
|
70.0
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
30.1
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
85.5
(10-shot)
|
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.
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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