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39 on AA[1], about the same as Deepseek v4.1 flash and Mimo 2.5 Flash. Behind Glm 5.3 flash and Qwen3.8-Flash-Next [2]

[1] https://artificialanalysis.ai/models/muse-spark-open

[2] https://artificialanalysis.ai/models/open-source?models=mimo...

Crucially, it's about the same as DeepSeek v4.1 Flash, and about 10x more expensive to run...

No thanks...

OG Deepseek Flash was pretty mediocre and then got a lot better with post training. The other thing they are fighting is most/all of the chinese labs are free to use/train on the 10B+ SOTA reasoning tokens they "stole" over the summer March-July 2026, if meta is playing by the rules, they are building this from the ground up. Getting anywhere near Deepseek Flash without that free training data is pretty impressive feat.

OG DeepSeek V4 Flash and V4.1 Flash are actually completely different architectures. To wit, V4 runs fine on 2x96GB cards but you’re not running V4.1 unquanted on less than 4x96GB.

It’s not really an apples-to-apples comparison.

(I’m not sure why they didn’t call it V5 Flash, but model names from most labs are completely nonsensical and disjoint from their underlying architecture.)

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