Understand and compare
Llama 3.1 405B Instruct
vs.
o1 Preview 2024-09-12
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Podial
Turn your documents into engaging podcast discussions.
Overview
Llama 3.1 405B Instruct was released
about 2 months before
o1 Preview 2024-09-12.
Llama 3.1 405B Instruct
|
o1 Preview 2024-09-12
|
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---|---|---|
Provider
The entity that provides this model.
|
Meta
|
OpenAI
|
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
|
32.8K
tokens
|
Release Date
When the model was first released.
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2024-07-23
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2024-09-12
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Knowledge Cutoff
Limit on the knowledge base used by the model.
|
December 2023
|
October 2023
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Open Source
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API Providers
The providers that offer this model. (This is not an exhaustive list.)
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|
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Pricing
Llama 3.1 405B Instruct
|
o1 Preview 2024-09-12
|
|
---|---|---|
Input
Cost of input data provided to the model.
|
Pricing not available.
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$15.00
per million tokens
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Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
$60.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Llama 3.1 405B Instruct
and o1 Preview 2024-09-12.
Llama 3.1 405B Instruct
|
o1 Preview 2024-09-12
|
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
85.2
(5-shot)
|
Benchmark not available.
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
GSM8K
Grade-school math problems benchmark.
|
96.8
(8-shot)
|
Benchmark not available.
|
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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