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Gemini 4 Pro checkpoints have finally started appearing internally a few days ago. This is the first ever output from the model, internally codenamed "argon". It took 2.4 minutes on High thinking effort. It has a 256k token "output limit", compared to 64k in previous Gemini models. I also... show more

Lentils

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375,337 просмотров • 4 дней назад •via X (Twitter)

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Комментарии: 21

Фото профиля Justin

Justin4 дней назад

256k output limit is insane. If they really fix the lazy character of gemini models it might be a cool model!. Output looks okay :)

Фото профиля J A Z I I

J A Z I I4 дней назад

minimax can do way better then this SIGH

Фото профиля Harshith

Harshith4 дней назад

bro is it really Gemini 4 pro why output looks like this??

Фото профиля Mathis Dupuy

Mathis Dupuy4 дней назад

The bridge is poorly placed samed for the cherry blossom next to the tower … this looks not promising

Фото профиля The Hero of KVcache

The Hero of KVcache4 дней назад

Selling all my goog stock right now

Фото профиля LeMi

LeMi4 дней назад

It only took 2.4 minutes, that's a pretty fast model

Фото профиля Louis

Louis4 дней назад

2.4 minutes is quite fast.

Фото профиля LeMi

LeMi4 дней назад

is it the RSI model that people keep saying?

Фото профиля Joaoneves

Joaoneves4 дней назад

This is not good, wtf...

Фото профиля Ritwik

Ritwik4 дней назад

256k output is the detail that jumps out. That changes the shape of long-horizon tool traces more than another headline benchmark would.

Фото профиля Calimanu Loredan

Calimanu Loredan4 дней назад

How’s the behavior? Had the chance to test that? Gemini models used to do more, or random stuff even unasked

Фото профиля Ritwik

Ritwik4 дней назад

256K output is the claim that matters if it's a hard generation cap. Context window rumors are cheap until the tokenizer and cache pricing show up.

Фото профиля ethereagle · building

ethereagle · building4 дней назад

256k output vs 64k is the number that matters. is that max_tokens, or thinking plus the answer in one budget? High at 2.4 min only helps if reasoning doesn't eat it

Фото профиля lewington

lewington4 дней назад

256k output is gonna be really nice for coding agents. you can just give them bigger jobs and let them keep going without having to break everything up so much

Фото профиля VDN

VDN4 дней назад

Amazing news ! Looking forward to it ! I am pretty sure it will be a revolution, because 3.1 pro has aged very well and still is very relevant for many things. Keep up the good work !

Фото профиля Razex

Razex4 дней назад

where i can see comparaison to this prompt u have some ?

Фото профиля Ishu Agrawal

Ishu Agrawal4 дней назад

i am so underwhelmed

Фото профиля Bughunter Geek

Bughunter Geek4 дней назад

Need better checkpoints than that to compete with OpenAI and co.

Фото профиля Juniper

Juniper4 дней назад

Seems solid

Фото профиля MRLN

MRLN4 дней назад

on the water ...

Фото профиля Zephyrich

Zephyrich4 дней назад

When do you estimate it to be released?

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Lentils

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Artificial Analysis

16,055 просмотров • 3 месяцев назад

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70,913 просмотров • 1 год назад

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Chetaslua

184,281 просмотров • 11 месяцев назад

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37,220 просмотров • 10 месяцев назад

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(1/5) Gemini 3, our most intelligent model, is landing in Google Search today – starting with AI Mode. Excited that this is the first time we’re shipping a new Gemini model in Search on day one! 🚀 In Search, Gemini 3 with generative layouts will make it easy to get a rich understanding of anything on your mind. It has state-of-the-art reasoning, deep multimodal understanding and advanced agentic capabilities. That allows the model to shine when you ask it to explain advanced concepts or ideas – it reasons and can code interactive visuals in real-time. It can tackle your toughest questions like advanced science.

Robby Stein

94,962 просмотров • 10 месяцев назад

Here we go: Gemini 3.0 is live! Thankfully, I was able to be an early tester. It's the best model I've ever tested - nothing comes even close to it. OpenAI will have a very hard time to keep up with Google, because Gemini 3.0 will now be the benchmark for all future models. I have been invited by Google DeepMind / Google - Thanks to Google DeepMind for the #EarlyAccess Here's a summary of Gemini 3.0 with all the important benchmark evals:

Here we go: Gemini 3.0 is live! Thankfully, I was able to be an early tester. It's the best model I've ever tested - nothing comes even close to it. OpenAI will have a very hard time to keep up with Google, because Gemini 3.0 will now be the benchmark for all future models. I have been invited by Google DeepMind / Google - Thanks to Google DeepMind for the #EarlyAccess Here's a summary of Gemini 3.0 with all the important benchmark evals:

Chubby♨️

108,611 просмотров • 10 месяцев назад

This is crazy man... one prompt + 4 minutes and I hit my 5 hour rate limit in the Gemini app. Here is the proof. Yesterday, I hit the rate limit the same way, so I wanted to check if it would happen again. I started with 0% usage on my 5 hour limit, then gave one simple prompt for video generation using the avatar feature. It ran for around 3 to 4 minutes, hit 100% of the rate limit, and the video generation failed as well.

AshutoshShrivastava

82,527 просмотров • 3 месяцев назад

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Carnage

162,446 просмотров • 3 месяцев назад