Understand and compare
Llama 2 Chat 70B
vs.
Chat Bison
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
Llama 2 Chat 70B was released
8 days after
Chat Bison.
Llama 2 Chat 70B
|
Chat Bison
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Meta
|
Google
|
|
Input Context Window
The number of tokens supported by the input context window.
|
4,096
tokens
|
8,192
characters
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
tokens
|
2,048
characters
|
|
Release Date
When the model was first released.
|
2023-07-18
|
2023-07-10
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
September 2022
|
Mid 2021
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
|
Llama 2 Chat 70B
|
Chat Bison
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
Pricing not available.
|
Pricing not available.
|
|
Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between Llama 2 Chat 70B
and Chat Bison.
|
Llama 2 Chat 70B
|
Chat Bison
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
68.9
|
78.3
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
30.1
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
85.3
(0-shot)
|
Benchmark not available.
|
|
GSM8K
Grade-school math problems benchmark.
|
56.8
(8-shot)
|
Benchmark not available.
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
29.9
(0-shot)
|
Benchmark not available.
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
Benchmark not available.
|
Benchmark not available.
|
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.
Chat Bison, developed by Google, features a context window of 8192 tokens. The model costs 0.025 cents per thousand tokens for input and 0.05 cents per thousand tokens for output. It was released on July 10, 2023, and achieved a score of 78.3 in the MMLU benchmark in a 5-shot scenario.
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