Understand and compare
GPT-3.5 Turbo 1106
vs.
Gemini 1.5 Pro
Overview
GPT-3.5 Turbo 1106 was released
3 months before
Gemini 1.5 Pro.
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Provider
The entity that provides this model.
|
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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.
|
2023-11-06
|
2024-02-15
|
Pricing
GPT-3.5 Turbo 1106 is
roughly 7.0x cheaper compared
to Gemini 1.5 Pro for input tokens and
roughly 10x cheaper
for output tokens.
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Input
Cost of input data provided to the model.
|
$1.00
per million tokens
|
$7.00
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$2.00
per million tokens
|
$21.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo 1106
and Gemini 1.5 Pro.
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|
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
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.
|
Benchmark not available.
|
Benchmark not available.
|
![](https://with.context.ai/assets/openai-5e3235388de8d8803af80dc53ea68559e0a4f698ae58b3eb9ea8048515f1bac1.png)
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.
![](https://with.context.ai/assets/google-c8f988d7a45b564da5965132d7479ae30327702e3e9fbc3df8f03c2842e0834e.png)
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