Understand and compare
GPT-3.5 Turbo
vs.
Gemini 1.5 Pro
Overview
GPT-3.5 Turbo was released
about 1 year before
Gemini 1.5 Pro.
GPT-3.5 Turbo
|
Gemini 1.5 Pro
|
|
---|---|---|
Provider
The entity that provides this model.
|
OpenAI
|
Google
|
Input Context Window
The number of tokens supported by the input context window.
|
4,096
tokens
|
1M
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
4,096
tokens
|
8,192
tokens
|
Release Date
When the model was first released.
|
2022-11-28
|
2024-02-15
|
Pricing
GPT-3.5 Turbo is
roughly 14x cheaper compared
to Gemini 1.5 Pro for input and output tokens.
GPT-3.5 Turbo
|
Gemini 1.5 Pro
|
|
---|---|---|
Input
Cost of input data provided to the model.
|
$0.50
per million tokens
|
$7.00
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$1.50
per million tokens
|
$21.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo
and Gemini 1.5 Pro.
GPT-3.5 Turbo
|
Gemini 1.5 Pro
|
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
70.0
(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.
|
85.5
(10-shot)
|
Benchmark not available.
|
GPT-3.5 Turbo, developed by OpenAI, features a context window of 4096 tokens. It is priced at 0.05 cents per thousand tokens for input and 0.15 cents per thousand tokens for output. The model was released on November 28, 2022, and has achieved high scores in benchmarks like HellaSwag (85.5 in a 10-shot scenario) and MMLU (70.0 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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