Understand and compare
Claude 3 Opus
vs.
Llama 3 70B Instruct
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Podial
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Overview
Claude 3 Opus was released
about 2 months before
Llama 3 70B Instruct.
Claude 3 Opus
|
Llama 3 70B Instruct
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Anthropic
|
Meta
|
|
Input Context Window
The number of tokens supported by the input context window.
|
200K
tokens
|
8,000
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
4,096
tokens
|
2,048
tokens
|
|
Release Date
When the model was first released.
|
2024-03-04
|
2024-04-18
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
August 2023
|
December 2023
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
|
Claude 3 Opus
|
Llama 3 70B Instruct
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$15.00
per million tokens
|
Pricing not available.
|
|
Output
Cost of output tokens generated by the model.
|
$75.00
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between Claude 3 Opus
and Llama 3 70B Instruct.
|
Claude 3 Opus
|
Llama 3 70B Instruct
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
88.2
(5-shot CoT)
|
82.0
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
59.4
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
95.4
(10-shot)
|
Benchmark not available.
|
|
GSM8K
Grade-school math problems benchmark.
|
Benchmark not available.
|
93.0
(8-shot)
|
|
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.
|
Benchmark not available.
|
51.0
(0-shot)
|
Claude 3 Opus, developed by Anthropic, features a context window of 200,000 tokens. The model costs 1.5 cents per thousand tokens for input and 7.5 cents per thousand tokens for output. It was released on March 4, 2024, and has achieved impressive scores in benchmarks like HellaSwag with a score of 95.4 in a 10-shot scenario, MMLU with a score of 88.2 in a 5-shot CoT scenario, and MMMU with a score of 59.4.
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.
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