---
format: "aidr-story-markdown/v1"
id: "c8d0c9d337e10bc5586e3e3f51f6ee50b0ea783e9e716194822f78ebda82883b"
canonical_url: "https://aidr.today/c8d0c9d3?lang=en"
title: "Xiaomi MiMo-V2.6's Flash Leads Open Weight Models on Vals Index"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-09-26T00:38:34.000Z"
category: "Models"
topics: ["open-source","llm","agent"]
source_urls: ["https://huggingnews.com/ai/update-xiaomi-mimo-v26s-flash-leads-open-weight-models-on-vals-index-093db1ad","https://x.com/ValsAI/status/2103642371313533333","https://x.com/ValsAI/status/2103642369845502021","https://x.com/ArtificialAnlys/status/2102128560962187701","https://x.com/Tim_Dettmers/status/2102153314863292901","https://x.com/theo/status/2102237465331556811","https://x.com/MaxForAI/status/2102187634714128564","https://x.com/rasbt/status/2102394156731535413"]
summary: "The Pro and Flash versions of the newly released MiMo-V2.6 multimodal AI model family outperform competing open-weight systems in intelligence and efficiency. MiMo-V2.6-Flash is the highest-ranked open-weight model on the Vals Index with a score of 59.6%, while the Pro version leads on the Artificial Analysis Intelligence Index with a score of 46. The Pro model uses a mixture-of-experts architecture with 1.02T total and 42B active parameters, costing $0.13 per intelligence index task. Xiaomi utilized recursive self-improvement and scaled reinforcement learning across 30 training steps, spending $2.62M on the Pro model and about $850,000 on the Flash model. Along with the model weights under the MIT license, the company open sourced over 7,000 RL task environments and its training framework. The Flash model's cost is $0.20 per Vals Index test, roughly 1% of the price for Claude Opus 5.5. Xiaomi is already transitioning to a 'HySparse2' architecture for MiMo-V3 to improve memory efficiency."
---

# Xiaomi MiMo\-V2\.6's Flash Leads Open Weight Models on Vals Index

> [Open the canonical story](<https://aidr.today/c8d0c9d3?lang=en>)

**Published:** 2026-09-26T00:38:34.000Z
**Category:** Models
**Topics:** open\-source, llm, agent

## Summary

The Pro and Flash versions of the newly released MiMo\-V2\.6 multimodal AI model family outperform competing open\-weight systems in intelligence and efficiency\. MiMo\-V2\.6\-Flash is the highest\-ranked open\-weight model on the Vals Index with a score of 59\.6%, while the Pro version leads on the Artificial Analysis Intelligence Index with a score of 46\. The Pro model uses a mixture\-of\-experts architecture with 1\.02T total and 42B active parameters, costing $0\.13 per intelligence index task\. Xiaomi utilized recursive self\-improvement and scaled reinforcement learning across 30 training steps, spending $2\.62M on the Pro model and about $850,000 on the Flash model\. Along with the model weights under the MIT license, the company open sourced over 7,000 RL task environments and its training framework\. The Flash model's cost is $0\.20 per Vals Index test, roughly 1% of the price for Claude Opus 5\.5\. Xiaomi is already transitioning to a 'HySparse2' architecture for MiMo\-V3 to improve memory efficiency\.

## Sources

- [Story source](<https://huggingnews.com/ai/update-xiaomi-mimo-v26s-flash-leads-open-weight-models-on-vals-index-093db1ad>)
- [Story source](<https://x.com/ValsAI/status/2103642371313533333>)
- [Supporting source](<https://x.com/ValsAI/status/2103642369845502021>)
- [Supporting source](<https://x.com/ArtificialAnlys/status/2102128560962187701>)
- [Supporting source](<https://x.com/Tim_Dettmers/status/2102153314863292901>)
- [Supporting source](<https://x.com/theo/status/2102237465331556811>)
- [Supporting source](<https://x.com/MaxForAI/status/2102187634714128564>)
- [Supporting source](<https://x.com/rasbt/status/2102394156731535413>)