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Gemini Embedding 2: natively multimodal embedding model (blog.google)
jeanloolz 2 days ago [-]
This is colossal. It can creates embeddings on pretty much any type of format, video, audio, documents. The context is still a bit small compared to what we are used to in text, but this seems major
Grimblewald 1 days ago [-]
How does it compare with qwens open weight multimodal embedding model? Anyone know? This seems lesser form what i read, with the drawback of bei g via some api/model i dont have control over. Qwen gives great ebeddings out of the gate while also being steerable, i.e. you can supply a prompt to focus on embedding specific tasks with higher resolution, which in my tests has been mind-blowingly good. Not seeing the value add here.
jerrygoyal 1 days ago [-]
what's the pricing and how does it compare to zembed-1 for text only embeddings?
jiggawatts 14 hours ago [-]
Pricing is here: https://cloud.google.com/vertex-ai/generative-ai/pricing#emb...

Seems to be 20 cents per million tokens of text and 0.012 cents per image.

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