Understand and compare
GPT-4 32K
vs.
Llama 2 Chat 70B
Overview
GPT-4 32K was released
4 months before
Llama 2 Chat 70B.
GPT-4 32K
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
Meta
|
|
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.
|
2023-03-14
|
2023-07-18
|
Pricing
|
GPT-4 32K
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
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
and Llama 2 Chat 70B.
|
GPT-4 32K
|
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.
|
GPT-4 32K, 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 March 14, 2023.
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.
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