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: https://t.co/czBJhQKuWJ
Today, we’re announcing Ternary Bonsai 2 27B.
Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance.
Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use.
Ternary Bonsai 2 27B is available today under Apache 2.0.
Se está calentando la semana con el inicio del #SummerGameFest 🔥
Da me gusta + Comenta + Comparte y podrías ganar estos premios:
🟢 (15)GPU GeForce RTX 3080 Ti
🟢 (2) Laptops GeForce RTX
🟢 (1) PC GeForce 3090 Ti personalizada
+ Recompensas como GeForce RTX Keycap
#RTXON
Elon Musk dijo que era necesario que el algoritmo de Twitter fuera público, y a horas de su compra, el repositorio en GitHub se actualiza para incluir esto.
https://t.co/r4hwpHDCsE
Aún está vacío ¿Pero qué creéis que pasaría si se hiciera público cómo funciona 'el algoritmo'?