Understand and compare
GPT-4 32K 0613
vs.
Llama 2 Chat 70B
Overview
GPT-4 32K 0613 was released
about 1 month before
Llama 2 Chat 70B.
![]() |
![]() |
|
---|---|---|
Provider
The entity that provides this model.
|
![]() |
![]() |
Input Context Window
The number of tokens supported by the input context window.
|
32.8K
tokens
|
4,096
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
Not specified.
|
2,048
tokens
|
Release Date
When the model was first released.
|
2023-06-13
|
2023-07-18
|
Pricing
![]() |
![]() |
|
---|---|---|
Input
Cost of input data provided to the model.
|
$60.00
per million tokens
|
Pricing not available.
|
Output
Cost of output tokens generated by the model.
|
$120.00
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between GPT-4 32K 0613
and Llama 2 Chat 70B.
![]() |
![]() |
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
68.9
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
30.1
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
![](https://with.context.ai/assets/openai-5e3235388de8d8803af80dc53ea68559e0a4f698ae58b3eb9ea8048515f1bac1.png)
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.
![](https://with.context.ai/assets/meta-b0d3356199f47d298a09385682430689ec6f3da855e3be6d323d4f11b7283d6b.png)
Measure & Improve LLM
Product Performance.
Get Started