Understand and compare
Llama 3.1 405B Instruct
vs.
GPT-4o 2024-08-06
Overview
Llama 3.1 405B Instruct was released
14 days before
GPT-4o 2024-08-06.
Llama 3.1 405B Instruct
|
GPT-4o 2024-08-06
|
|
|---|---|---|
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Provider
The entity that provides this model.
|
Meta
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OpenAI
|
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Input Context Window
The number of tokens supported by the input context window.
|
128K
tokens
|
128K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
tokens
|
16.4K
tokens
|
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Release Date
When the model was first released.
|
2024-07-23
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2024-08-06
|
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Knowledge Cutoff
Limit on the knowledge base used by the model.
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December 2023
|
October 2023
|
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Open Source
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|
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API Providers
The providers that offer this model. (This is not an exhaustive list.)
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Pricing
|
Llama 3.1 405B Instruct
|
GPT-4o 2024-08-06
|
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|---|---|---|
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Input
Cost of input data provided to the model.
|
Pricing not available.
|
$2.50
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
$10.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Llama 3.1 405B Instruct
and GPT-4o 2024-08-06.
|
Llama 3.1 405B Instruct
|
GPT-4o 2024-08-06
|
|
|---|---|---|
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
85.2
(5-shot)
|
Benchmark not available.
|
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MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
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HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
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GSM8K
Grade-school math problems benchmark.
|
96.8
(8-shot)
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Benchmark not available.
|
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HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
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Benchmark not available.
|
Benchmark not available.
|
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MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
73.8
(0-shot)
|
Benchmark not available.
|
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