Understand and compare
GPT-4 Turbo 1106
vs.
Gemini Ultra
Overview
GPT-4 Turbo 1106
|
Gemini Ultra
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
Google
|
|
Input Context Window
The number of tokens supported by the input context window.
|
128K
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.
|
2023-11-06
|
Unknown
|
Pricing
|
GPT-4 Turbo 1106
|
Gemini Ultra
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$10.00
per million tokens
|
Pricing not available.
|
|
Output
Cost of output tokens generated by the model.
|
$30.00
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between GPT-4 Turbo 1106
and Gemini Ultra.
|
GPT-4 Turbo 1106
|
Gemini Ultra
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
83.7
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
59.4
(0-shot pass@1)
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
GPT-4 Turbo 1106, developed by OpenAI, features an impressive context window of 128,000 tokens. The model costs 1.0 cent per thousand tokens for input and 3.0 cents per thousand tokens for output. It is set to be released on November 6, 2023.
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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