Understand and compare
Claude 2
vs.
Gemini 1.5 Pro
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Overview
Claude 2 was released
7 months before
Gemini 1.5 Pro.
Claude 2
|
Gemini 1.5 Pro
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Anthropic
|
Google
|
|
Input Context Window
The number of tokens supported by the input context window.
|
100K
tokens
|
1M
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
Not specified.
|
8,192
tokens
|
|
Release Date
When the model was first released.
|
2023-07-11
|
2024-02-15
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
Early 2023
|
November 2023
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
Claude 2 is
roughly 14.3% more expensive compared
to Gemini 1.5 Pro for input and output tokens.
|
Claude 2
|
Gemini 1.5 Pro
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$8.00
per million tokens
|
$7.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$24.00
per million tokens
|
$21.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Claude 2
and Gemini 1.5 Pro.
|
Claude 2
|
Gemini 1.5 Pro
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
78.5
(5-shot)
|
81.9
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
58.5
(0-shot)
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
93.3
(10-shot)
|
|
GSM8K
Grade-school math problems benchmark.
|
Benchmark not available.
|
90.8
(11-shot)
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
Benchmark not available.
|
84.1
(0-shot)
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
Benchmark not available.
|
67.7
(4-shot Minerva Prompt)
|
Claude 2, developed by Anthropic, features a large context window of 100,000 tokens. The model costs 0.8 cents per thousand tokens for input and 2.4 cents per thousand tokens for output. It was released on July 11, 2023, and has shown strong performance in the MMLU benchmark with a score of 78.5 in a 5-shot scenario.
Gemini 1.5 Pro by Google features a vast context window of 1,000,000 tokens. The model is priced at 0.7 cents per thousand tokens for input and 2.1 cents per thousand tokens for output. It was launched on February 15, 2024. In benchmark tests, it achieved a score of 58.5 in MMMU with a 0-shot scenario and 81.9 in MMLU with a 5-shot scenario.
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