Understand and compare
GPT-4 Turbo 0125
vs.
Llama 2 Chat 70B
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
GPT-4 Turbo 0125 was released
6 months after
Llama 2 Chat 70B.
GPT-4 Turbo 0125
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
Meta
|
|
Input Context Window
The number of tokens supported by the input context window.
|
128K
tokens
|
4,096
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.
|
2024-01-25
|
2023-07-18
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
December 2023
|
September 2022
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
|
GPT-4 Turbo 0125
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$10.00
per million tokens
|
Pricing not available.
|
|
Output
Cost of output tokens generated by the model.
|
$30.00
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between GPT-4 Turbo 0125
and Llama 2 Chat 70B.
|
GPT-4 Turbo 0125
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
85.4
(5-shot)
|
68.9
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
30.1
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
85.3
(0-shot)
|
|
GSM8K
Grade-school math problems benchmark.
|
Benchmark not available.
|
56.8
(8-shot)
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
86.6
(0-shot)
|
29.9
(0-shot)
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
64.5
(0-shot)
|
Benchmark not available.
|
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.
Llama 2 Chat 70B, developed by Meta, features a context window of 4096 tokens. The model was released on July 18, 2023, and has achieved a score of 30.1 in the MMMU benchmark and 68.9 in the MMLU benchmark.
Mistral 8x7B Instruct
Claude 3 Opus
Measure & Improve LLM
Product Performance.
Get Started
© 2023-2024 Context