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Overview
GPT-3.5 Turbo 16K was released 11 months before Gemini Flash.
GPT-3.5 Turbo 16K
Gemini Flash
Provider
The entity that provides this model.
OpenAI
Google
Input Context Window
The number of tokens supported by the input context window.
16.4K
tokens
1M
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
16.4K
tokens
8,192
tokens
Release Date
When the model was first released.
2023-06-13
2024-05-14
Knowledge Cutoff
Limit on the knowledge base used by the model.
Unknown
November 2023
Open Source
API Providers
The providers that offer this model. (This is not an exhaustive list.)
Pricing
GPT-3.5 Turbo 16K is roughly 24x more expensive compared to Gemini Flash for input tokens and roughly 11x more expensive for output tokens.
GPT-3.5 Turbo 16K
Gemini Flash
Input
Cost of input data provided to the model.
$3.00
per million tokens
$0.13
per million tokens
Output
Cost of output tokens generated by the model.
$4.00
per million tokens
$0.38
per million tokens
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo 16K and Gemini Flash.
GPT-3.5 Turbo 16K
Gemini Flash
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
78.9
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
56.1
(0-shot pass@1)
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
86.5
(10-shot)
GSM8K
Grade-school math problems benchmark.
Benchmark not available.
86.2
(11-shot)
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
Benchmark not available.
74.3
(0-shot)
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
Benchmark not available.
54.9
(4-shot Minerva Prompt)
Measure & Improve LLM Product Performance.
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