Understand and compare
GPT-4
vs.
Llama 3 70B Instruct
Overview
GPT-4 was released
about 1 year before
Llama 3 70B Instruct.
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Provider
The entity that provides this model.
|
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Input Context Window
The number of tokens supported by the input context window.
|
8,192
tokens
|
8,000
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
8,192
tokens
|
2,048
tokens
|
Release Date
When the model was first released.
|
2023-03-14
|
2024-04-18
|
Pricing
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Input
Cost of input data provided to the model.
|
$30.00
per million tokens
|
Pricing not available.
|
Output
Cost of output tokens generated by the model.
|
$60.00
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between GPT-4
and Llama 3 70B Instruct.
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
86.4
(5-shot)
|
82.0
(5-shot)
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
34.9
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
95.3
(10-shot)
|
Benchmark not available.
|
![](https://with.context.ai/assets/openai-5e3235388de8d8803af80dc53ea68559e0a4f698ae58b3eb9ea8048515f1bac1.png)
Llama 3 70B Instruct, developed by Meta, features a context window of 8000 tokens. The model was released on April 18, 2024, and achieved a score of 82.0 in the MMLU benchmark under a 5-shot scenario.
![](https://with.context.ai/assets/meta-b0d3356199f47d298a09385682430689ec6f3da855e3be6d323d4f11b7283d6b.png)
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