Understand and compare
Chat Bison
vs.
Mistral 8x7B Instruct
Overview
Chat Bison was released
5 months before
Mistral 8x7B Instruct.
Chat Bison
|
Mistral 8x7B Instruct
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Google
|
Mistral
|
|
Input Context Window
The number of tokens supported by the input context window.
|
8,192
characters
|
32K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
characters
|
4,096
tokens
|
|
Release Date
When the model was first released.
|
2023-07-10
|
2023-12-11
|
Pricing
|
Chat Bison
|
Mistral 8x7B Instruct
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
Pricing not available.
|
$0.70
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
$0.70
per million tokens
|
Benchmarks
Compare relevant benchmarks between Chat Bison
and Mistral 8x7B Instruct.
|
Chat Bison
|
Mistral 8x7B Instruct
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
78.3
(5-shot)
|
70.6
(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.
|
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.
Mistral 8x7B Instruct, developed by Mistral, features a context window of 32000 tokens. The model costs 0.07 cents per thousand tokens for both input and output. It was released on December 11, 2023, and achieved a score of 70.6 in the MMLU benchmark in a 5-shot scenario.
Claude Instant 1.2
GPT-4o
Measure & Improve LLM
Product Performance.
Get Started
© 2023-2024 Context