Understand and compare
Claude 2.1
vs.
Gemini Pro
Overview
Claude 2.1 was released
20 days before
Gemini Pro.
Claude 2.1
|
Gemini Pro
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Anthropic
|
Google
|
|
Input Context Window
The number of tokens supported by the input context window.
|
200K
tokens
|
32.8K
characters
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
Not specified.
|
8,192
characters
|
|
Release Date
When the model was first released.
|
2023-11-23
|
2023-12-13
|
Pricing
|
Claude 2.1
|
Gemini Pro
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$8.00
per million tokens
|
Pricing not available.
|
|
Output
Cost of output tokens generated by the model.
|
$24.00
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between Claude 2.1
and Gemini Pro.
|
Claude 2.1
|
Gemini Pro
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
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.
|
Claude 2.1, developed by Anthropic, features a large context window of 200,000 tokens. The model costs 0.08 cents per thousand tokens for input and 0.24 cents per thousand tokens for output. It was released on November 23, 2023.
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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