Understand and compare
Chat Bison
vs.
Gemini Pro
Overview
Chat Bison was released
5 months before
Gemini Pro.
Chat Bison
|
Gemini Pro
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Google
|
Google
|
|
Input Context Window
The number of tokens supported by the input context window.
|
8,192
characters
|
32.8K
characters
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
characters
|
8,192
characters
|
|
Release Date
When the model was first released.
|
2023-07-10
|
2023-12-13
|
Pricing
|
Chat Bison
|
Gemini Pro
|
|
|---|---|---|
|
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 Chat Bison
and Gemini Pro.
|
Chat Bison
|
Gemini Pro
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
78.3
(5-shot)
|
71.8
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
47.9
(pass@1)
|
|
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.
Gemini Pro, developed by Google, features a context window of 32768 tokens. The model costs 0.0125 cents per thousand tokens for input and 0.0375 cents per thousand tokens for output. It was released on December 13, 2023, and has achieved a score of 47.9 in the MMMU benchmark with a "pass@1" caveat and a score of 71.8 in the MMLU benchmark in a 5-shot scenario.
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