Understand and compare
Gemini 1.5 Pro
vs.
GPT-3.5 Turbo 0125
Overview
Gemini 1.5 Pro was released
21 days after
GPT-3.5 Turbo 0125.
Gemini 1.5 Pro
|
GPT-3.5 Turbo 0125
|
|
---|---|---|
Provider
The entity that provides this model.
|
Google
|
OpenAI
|
Input Context Window
The number of tokens supported by the input context window.
|
1M
tokens
|
16.4K
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
8,192
tokens
|
4,096
tokens
|
Release Date
When the model was first released.
|
2024-02-15
|
2024-01-25
|
Pricing
Gemini 1.5 Pro is
roughly 14x more expensive compared
to GPT-3.5 Turbo 0125 for input and output tokens.
Gemini 1.5 Pro
|
GPT-3.5 Turbo 0125
|
|
---|---|---|
Input
Cost of input data provided to the model.
|
$7.00
per million tokens
|
$0.50
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$21.00
per million tokens
|
$1.50
per million tokens
|
Benchmarks
Compare relevant benchmarks between Gemini 1.5 Pro
and GPT-3.5 Turbo 0125.
Gemini 1.5 Pro
|
GPT-3.5 Turbo 0125
|
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
81.9
(5-shot)
|
Benchmark not available.
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
58.5
(0-shot)
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
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.
GPT-3.5 Turbo 0125, developed by OpenAI, features a context window of 16385 tokens. The model costs 0.05 cents per thousand tokens for input and 0.15 cents per thousand tokens for output. It was released on January 25, 2024.
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