Understand and compare
Llama 3.1 405B Instruct
vs.
Claude Instant 1.2
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
Llama 3.1 405B Instruct was released
12 months after
Claude Instant 1.2.
Llama 3.1 405B Instruct
|
Claude Instant 1.2
|
|
---|---|---|
Provider
The entity that provides this model.
|
Meta
|
Anthropic
|
Input Context Window
The number of tokens supported by the input context window.
|
128K
tokens
|
100K
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
tokens
|
Not specified.
|
Release Date
When the model was first released.
|
2024-07-23
|
2023-08-09
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
December 2023
|
Early 2023
|
Open Source
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
Llama 3.1 405B Instruct
|
Claude Instant 1.2
|
|
---|---|---|
Input
Cost of input data provided to the model.
|
Pricing not available.
|
$0.80
per million tokens
|
Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
$2.40
per million tokens
|
Benchmarks
Compare relevant benchmarks between Llama 3.1 405B Instruct
and Claude Instant 1.2.
Llama 3.1 405B Instruct
|
Claude Instant 1.2
|
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
85.2
(5-shot)
|
73.4
(5-shot)
|
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.
|
Benchmark not available.
|
Benchmark not available.
|
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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