No this is comparable to Deepseek-v3.2 even on their highlight task, with significantly worse general ability. And it's priced 5x of that.

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esafak 15 hours ago | parent [-]

It's open source; the price is up to the provider, and I do not see any on openrouter yet. ̶G̶i̶v̶e̶n̶ ̶t̶h̶a̶t̶ ̶d̶e̶v̶s̶t̶r̶a̶l̶ ̶i̶s̶ ̶m̶u̶c̶h̶ ̶s̶m̶a̶l̶l̶e̶r̶,̶ ̶I̶ ̶c̶a̶n̶ ̶n̶o̶t̶ ̶i̶m̶a̶g̶i̶n̶e̶ ̶i̶t̶ ̶w̶i̶l̶l̶ ̶b̶e̶ ̶m̶o̶r̶e̶ ̶e̶x̶p̶e̶n̶s̶i̶v̶e̶,̶ ̶l̶e̶t̶ ̶a̶l̶o̶n̶e̶ ̶5̶x̶.̶ ̶I̶f̶ ̶a̶n̶y̶t̶h̶i̶n̶g̶ ̶D̶e̶e̶p̶S̶e̶e̶k̶ ̶w̶i̶l̶l̶ ̶b̶e̶ ̶5̶x̶ ̶t̶h̶e̶ ̶c̶o̶s̶t̶.̶

edit: Mea culpa. I missed the active vs dense difference.

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NitpickLawyer 14 hours ago | parent | next [-]

> Given that devstral is much smaller, I can not imagine it will be more expensive

Devstral 2 is 123B dense. Deepseek is 37B Active. It will be slower and more expensive to run inference on this than dsv3. Especially considering that dsv3.2 has some goodies that make inference at higher context be more effective than their previous gen.

	▲	syntaxing 12 hours ago \| parent [-]
		Devstral is purely nonthinking too it’s very possible it uses less models (I don’t know how DS 3.2 nonthinking compares). It’s interesting because Qwen pretty much proved hybrid models work worse than fully separate models.

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aimanbenbaha 11 hours ago | parent | prev | next [-]

Deepseek v3.2 is that cheap because its attention mechanism is ridiculously efficient.

	▲	esafak 9 hours ago \| parent [-]
		Yeah, DeepSeek Sparse Attention. Section 2: https://arxiv.org/abs/2512.02556

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6 hours ago | parent | prev [-]

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