Understand and compare
Gemini Ultra
vs.
Claude Instant 1.2
Overview
Gemini Ultra
|
Claude Instant 1.2
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Google
|
Anthropic
|
|
Input Context Window
The number of tokens supported by the input context window.
|
32.8K
characters
|
100K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
8,192
characters
|
Not specified.
|
|
Release Date
When the model was first released.
|
Unknown
|
2023-08-09
|
Pricing
|
Gemini Ultra
|
Claude Instant 1.2
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
Pricing not available.
|
$0.80
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
$2.40
per million tokens
|
Benchmarks
Compare relevant benchmarks between Gemini Ultra
and Claude Instant 1.2.
|
Gemini Ultra
|
Claude Instant 1.2
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
83.7
(5-shot)
|
73.4
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
59.4
(0-shot pass@1)
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
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.
Claude Instant 1.2, created by Anthropic, features a context window of 100,000 tokens. The model is priced at 0.8 cents per thousand tokens for input and 2.4 cents per thousand tokens for output. It was launched on August 9, 2023, and has shown strong performance in the MMLU benchmark with a score of 73.4 in a 5-shot scenario.
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