Understand and compare
Gemini Flash
vs.
GPT-3.5 Turbo
Overview
Gemini Flash was released
over 1 year after
GPT-3.5 Turbo.
Gemini Flash
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Google
|
OpenAI
|
|
Input Context Window
The number of tokens supported by the input context window.
|
1M
tokens
|
4,096
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.
|
2024-05-14
|
2022-11-28
|
Pricing
Gemini Flash is
roughly 4.0x cheaper compared
to GPT-3.5 Turbo for input and output tokens.
|
Gemini Flash
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.13
per million tokens
|
$0.50
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$0.38
per million tokens
|
$1.50
per million tokens
|
Benchmarks
Compare relevant benchmarks between Gemini Flash
and GPT-3.5 Turbo.
|
Gemini Flash
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
78.9
(5-shot)
|
70.0
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
56.1
(0-shot pass@1)
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
85.5
(10-shot)
|
Llama 3 8B Instruct
Claude 2
Measure & Improve LLM
Product Performance.
Get Started
© 2023-2024 Context