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Gemini 3 Pro Model Card [pdf]

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Re: Gemini 3 Pro Model Card [pdf]

#21
post #2

> The training dataset also includes: publicly available datasets that are readily downloadable; data obtained by crawlers; licensed data obtained via commercial licensing agreements; user data (i.e., data collected from users of Google products and services to train AI models, along with user interactions with the model) in accordance with Google’s relevant terms of service, privacy policy, service-specific policies…

It says "pursuant to user controls, where appropriate". We can now sleep peacefully with the knowledge that Google will give us the tools to disable this where it's not inappropriate.

Re: Gemini 3 Pro Model Card [pdf]

#22

If these numbers are true then OpenAI is probably done, Anthropic too. Still, it's hard to see an effective monetization method for this tech and it clearly is eating Google's main pie which is search.

1) New SOTA models come out all the time and that hasn't killed the other major AI companies. This will be no different.

2) Google's search revenue last quarter was $56 billion, a 14% increase over Q3 2024.

Re: Gemini 3 Pro Model Card [pdf]

#23
Benchmarks from page 4 of the model card:

    | Benchmark             | 3 Pro     | 2.5 Pro | Sonnet 4.5 | GPT-5.1   |
    |-----------------------|-----------|---------|------------|-----------|
    | Humanity's Last Exam  | 37.5%     | 21.6%   | 13.7%      | 26.5%     |
    | ARC-AGI-2             | 31.1%     | 4.9%    | 13.6%      | 17.6%     |
    | GPQA Diamond          | 91.9%     | 86.4%   | 83.4%      | 88.1%     |
    | AIME 2025             |           |         |            |           |
    |   (no tools)          | 95.0%     | 88.0%   | 87.0%      | 94.0%     |
    |   (code execution)    | 100%      | -       | 100%       | -         |
    | MathArena Apex        | 23.4%     | 0.5%    | 1.6%       | 1.0%      |
    | MMMU-Pro              | 81.0%     | 68.0%   | 68.0%      | 80.8%     |
    | ScreenSpot-Pro        | 72.7%     | 11.4%   | 36.2%      | 3.5%      |
    | CharXiv Reasoning     | 81.4%     | 69.6%   | 68.5%      | 69.5%     |
    | OmniDocBench 1.5      | 0.115     | 0.145   | 0.145      | 0.147     |
    | Video-MMMU            | 87.6%     | 83.6%   | 77.8%      | 80.4%     |
    | LiveCodeBench Pro     | 2,439     | 1,775   | 1,418      | 2,243     |
    | Terminal-Bench 2.0    | 54.2%     | 32.6%   | 42.8%      | 47.6%     |
    | SWE-Bench Verified    | 76.2%     | 59.6%   | 77.2%      | 76.3%     |
    | t2-bench              | 85.4%     | 54.9%   | 84.7%      | 80.2%     |
    | Vending-Bench 2       | $5,478.16 | $573.64 | $3,838.74  | $1,473.43 |
    | FACTS Benchmark Suite | 70.5%     | 63.4%   | 50.4%      | 50.8%     |
    | SimpleQA Verified     | 72.1%     | 54.5%   | 29.3%      | 34.9%     |
    | MMLU                  | 91.8%     | 89.5%   | 89.1%      | 91.0%     |
    | Global PIQA           | 93.4%     | 91.5%   | 90.1%      | 90.9%     |
    | MRCR v2 (8-needle)    |           |         |            |           |
    |   (128k avg)          | 77.0%     | 58.0%   | 47.1%      | 61.6%     |
    |   (1M pointwise)      | 26.3%     | 16.4%   | n/s        | n/s       |
n/s = not supported

EDIT: formatting, hopefully a bit more mobile friendly

Re: Gemini 3 Pro Model Card [pdf]

#26

So does google actually have a claude console alternative currently?

Noteworthily, although Gemini 3 Pro seems to have much benchmark scores than other models across the board (including compared to Claude), it's not the case for coding, where it appears to score essentially the same as the others. I wonder why that is.

So far, IMHO, Claude Code remains significantly better than Gemini CLI. We'll see whether that changes with Gemini 3.

Re: Gemini 3 Pro Model Card [pdf]

#27
post #13

If these numbers are true then OpenAI is probably done, Anthropic too. Still, it's hard to see an effective monetization method for this tech and it clearly is eating Google's main pie which is search.

Why? These models just leapfrog each other as time advances. One month Gemini is on top, then ChatGPT, then Anthropic. Not sure why everyone gets FOMO whenever a new version gets released.

I think google is uniquely well placed to make a profitable business out of AI: They make their own TPUs so don't have to pay ridiculous amounts of money to Nvidia, they have a great depth of talent in building models, they've got loads of data they can use for training and they've got a huge existing customer base who can buy their AI offerings.

I don't think any other company has all these ingredients.

Re: Gemini 3 Pro Model Card [pdf]

#28

If these numbers are true then OpenAI is probably done, Anthropic too. Still, it's hard to see an effective monetization method for this tech and it clearly is eating Google's main pie which is search.

I'd love to see anthropic/openai pop. back to some regular programming. the models are good enough, time to invest elsewhere

Re: Gemini 3 Pro Model Card [pdf]

#29

It's hilarious that the release of Gemini 3 is getting eclipsed by this cloudflare outage.

It hasn't been released, this is just a leak

On reddit I see it's already available on cursor

https://www.reddit.com/r/Bard/comments/1p093fb/gemini_3_in_c...

Re: Gemini 3 Pro Model Card [pdf]

#30
post #27
post #13

Earlier quoted context omitted.

Why? These models just leapfrog each other as time advances. One month Gemini is on top, then ChatGPT, then Anthropic. Not sure why everyone gets FOMO whenever a new version gets released.

I think google is uniquely well placed to make a profitable business out of AI: They make their own TPUs so don't have to pay ridiculous amounts of money to Nvidia, they have a great depth of talent in building models, they've got loads of data they can use for training and they've got a huge existing customer base who can buy their AI offerings. I don't think any other company has all these ingredients.

While I don’t disagree that Google is the company you can’t bet against when it comes to AI, saying other companies are done is a stretch. If they have a significant moat then they should be at the top all the time by then which is not the case though.
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