MiMo-V2.6 just dropped, and Xiaomi’s Fuli Luo is already teasing the next architecture: MiMo-V3🔥 The core of it, HySparse2, targets three bottlenecks in agentic inference: prefill cost, KV cache size, and long-context retrieval. Compared with MiMo-V2.6’s Hybrid SWA architecture at 1M tokens: • 5.02× lower prefill FLOPs • 4.5× smaller KV Cache • Better MRCRv2 and RULER-v2 scores, plus lower AgentPPL and LongPPL The HySparse2 paper comes from Xiaomi’s LLM-Core team, with Fuli Luo as corresponding author and Team Lead. Interestingly, its references also include DeepSeek-V2, V3.2, V4, and V4.1-Flash, along with OpenAI’s GPT-4.1 evaluation work and the gpt-oss model card.

MiMo 2.6 Pro vs Flash👇 Pro (left): 10M tokens, $1.41, 4,927s Flash (right): 6.9M tokens, $0.15, 4,090s Pro costs nearly 10× more, but the night scene, lighting, and overall atmosphere are noticeably richer.

MiMo-V2.6-Flash is available for free for a week on OpenCode! if your looking for a way to test this model out... you can now for free which is pretty amazing let me know what yall cook with it

MiMo-V2.6-Pro-RL - 1.02T Total and 42B Activated parameters - Only 1 point below GPT 5.6 Sol Max in capabilities & intelligence - Fits on 8x RTX PRO 6000 (that's the cost of GPT 5.6 Sol Max "frontier intelligence" now) They also released MiMo-V2.6-Flash-RL (309B/15B) btw

MiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per Intelligence Index task, it lands on the Intelligence vs. Cost per Task Pareto frontier @Xiaomi has just released MiMo-V2.6-Pro, an open weights model with major advances in intelligence over its predecessor, MiMo-V2.5-Pro (Intelligence Index: 26). Despite the improvement, it retains the same attractive pricing at $0.435 per 1M input tokens (with a 99% cache-hit discount) and $0.87 per 1M output tokens. This makes MiMo-V2.6-Pro one of the most cost-efficient models to deploy. MiMo-V2.6-Pro is an MoE model with 1.02T total parameters and 42B active parameters. Stay tuned for additional analysis of the model. Check out MiMo-V2.6-Pro full benchmarking breakdown here:

[MIMK-099] Getting Off To A Certain Family – Fakecest. Step-mom Trades Places With Step-sis. Tale Of Struggle. Original Work – Chinjao Girl. Ranked No.1 For FANZA 2021 Dojin – CG Category. Hotaru Nogi