Understand and compare
Llama 3 8B Instruct
vs.
GPT-4 Turbo 0125
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
Llama 3 8B Instruct was released
3 months after
GPT-4 Turbo 0125.
Llama 3 8B Instruct
|
GPT-4 Turbo 0125
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Meta
|
OpenAI
|
|
Input Context Window
The number of tokens supported by the input context window.
|
8,000
tokens
|
128K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
tokens
|
4,096
tokens
|
|
Release Date
When the model was first released.
|
2024-04-18
|
2024-01-25
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
March 2023
|
December 2023
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
|
Llama 3 8B Instruct
|
GPT-4 Turbo 0125
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
Pricing not available.
|
$10.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
$30.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Llama 3 8B Instruct
and GPT-4 Turbo 0125.
|
Llama 3 8B Instruct
|
GPT-4 Turbo 0125
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
68.4
(5-shot)
|
85.4
(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.
|
80.6
(8-shot)
|
Benchmark not available.
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
Benchmark not available.
|
86.6
(0-shot)
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
29.1
(0-shot)
|
64.5
(0-shot)
|
Llama 3 8B Instruct, developed by Meta, features a context window of 8000 tokens. The model was released on April 18, 2024, and achieved a score of 68.4 in the MMLU benchmark.
GPT-4 Turbo 0125, developed by OpenAI, features an impressive context window of 128,000 tokens. The model costs 1.0 cent per thousand tokens for input and 3.0 cents per thousand tokens for output. It is set to be released on January 25, 2024.
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