Understand and compare
Claude 3 Sonnet
vs.
Gemini Ultra
Overview
Claude 3 Sonnet
|
Gemini Ultra
|
|
---|---|---|
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.
|
4,096
tokens
|
8,192
characters
|
Release Date
When the model was first released.
|
2024-03-04
|
Unknown
|
Pricing
Claude 3 Sonnet
|
Gemini Ultra
|
|
---|---|---|
Input
Cost of input data provided to the model.
|
$3.00
per million tokens
|
Pricing not available.
|
Output
Cost of output tokens generated by the model.
|
$15.00
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between Claude 3 Sonnet
and Gemini Ultra.
Claude 3 Sonnet
|
Gemini Ultra
|
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
81.5
(5-shot CoT)
|
83.7
(5-shot)
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
53.1
|
59.4
(0-shot pass@1)
|
HellaSwag
A challenging sentence completion benchmark.
|
89.0
(10-shot)
|
Benchmark not available.
|
Claude 3 Sonnet, developed by Anthropic, features a context window of 200,000 tokens. The model costs 0.3 cents per thousand tokens for input and 1.5 cents per thousand tokens for output. It was released on March 4, 2024, and has achieved benchmark scores of 53.1 in MMMU, 89.0 in HellaSwag (10-shot), and 81.5 in MMLU (5-shot CoT).
Gemini Ultra, developed by Google, features a large context window of 32768 tokens. The model has excelled in benchmarks like MMMU with a score of 59.4 in a 0-shot pass@1 scenario and MMLU with a score of 83.7 in a 5-shot scenario.
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