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MiMo-v2.6-Pro: Intelligence, Performance and Price Analysis

151 pointsby theanonymousonetoday at 4:02 AM61 commentsview on HN

Comments

Gareth321today at 8:07 AM

OpenAI usage limits have been severely cut, and intelligence appears to be markedly declining, so I'm going to start trying these Chinese models seriously now. I don't mind if it takes longer. I just need the intelligence to predictably work the same way from day to day.

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egerestoday at 7:27 AM

It feels suspicious that MiMo-V2.6 Pro gets 46 in de index while DeepSeek-V4.1 (https://artificialanalysis.ai/models/deepseek-v4-1-flash) gets 39. According to the appendix at the bottom of https://mimo.xiaomi.com/mimo-v2-6 the deepseek model sometimes surpasses mimo and it's not so far behind in capabilities. A week ago opus 5 appeared 1 points ahead of fable 5 despite fable being a much smarter model (this has been corrected already)

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dom96today at 7:28 AM

It is an impressive model. Agreed on most that is written on this page, with the exception of it being fast. I ran it on my own LLM benchmark suite[1] and it is faster than DeepSeek but still much slower than leading models. But it's pricing is where it really shines.

KillSwitch-Bench 1.0

  Claude Opus 5           66.9
  GPT-6 Astra             57.9
  Claude Fable 5.1        46.7
  MiMo-V2.6-Pro           38.8
  Muse Spark 1.3          36.5
1 - https://bench.killswitch-lang.org/
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segmondytoday at 12:08 PM

Mimo2.5 is really good, but tended to loop too much for my taste. Locally, Pro2.5 wasn't much better. I would reach for it for one shots, hopefully they sorted it out with v2.6, it's a model that's slept on by many. I found that most people that used it did so because it was free. It's a top model worth exploring if you have never given it a go.

deanctoday at 12:36 PM

Why is it labelled as #1/114 for artificial intelligence (at the top of the page) but if you scroll down and look at the graphs it's obviously not?

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tensegristtoday at 11:13 AM

where's the flash model? it's out already isn't it

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jampekkatoday at 6:13 AM

"When evaluating the Intelligence Index, it generated 140M tokens, which is somewhat verbose in comparison to the median of 140M."

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ignoramoustoday at 8:48 AM

Per Xiaomi, MiMo v2.6 training run cost $3.47m. A far cry from the estimated costs ($100m+) for the Big 5 (MSL, xAI, GDM, OAI, Ant). I wouldn't be surprised if salaries and R&D costs have similar drastic disparities.

For a model that matches Muse Spark 1.3 in benchmarks, MiMo v2.6 Pro is incredibly cheap, given its cache rates will remain $0.0036 per million.

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kosolamtoday at 7:39 AM

Why sol is not in the comparison?

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