Ai Token

MiniMax releases open weights for 428B-parameter M3.1 Flash model: MiniMax released open weights for its M3.1 Flash model on October 23, making the model available to developers. The mixture-of-experts model has approximately 428 billion total parameters with 23 billion activated per token. It supports text, image and video inputs and a context window of up to 1 million tokens.

AI Models • TechNode

Moonshot unveils Kimi K3.1 Pro, 3T-class open-weight model with 1M-token context: Moonshot unveiled Kimi K3.1 Pro, a 3T-class open-weight model with a 1M-token context window, and K3.1 Pro Highspeed. The company says full weights will be released by Nov. 4.

AI Models • Techmeme

CAICT report: domestic model prices nearly doubled in 2026, daily token use hit 500 trillion: A CAICT report on token services found domestic large-model prices nearly doubled in 2026 and throughput doubled. First-token latency rose, while daily token use reached about 500 trillion.

AI Industry • Pandaily

Xiaomi open-sources Xiaomi-Lens-0, a 4B model that points to pixel-level image regions: Xiaomi's SeerRay-Lab open-sourced Xiaomi-Lens-0, a 4B multimodal model built on Qwen3.5-4B. It emits mask tokens to point to pixel-level image regions mid-answer. The lab also released the LensBench benchmark.

Xiaomi • Pandaily

Do Diffusion LLMs Scale? Testing Mercury 3 + Decide: Sam Witteveen tested Inception’s Mercury 3 diffusion LLM and Mercury Decide, which can now read images. The video compares them, checks independent evaluations, and tests Inception’s claim of over 1,000 tokens/sec.

Inception • Sam Witteveen

Tencent Hunyuan open-sources Hy Memory 2.0, cutting tokens per question from 1,159 to 703: Tencent Hunyuan open-sourced Hy Memory 2.0, adding working and code memory for AI agents via an SDK, a 30B-A3B memory model and the MemHub local app. Tencent reports 72.6% on LoCoMo and a cut in tokens per question from 1,159 to 703.

AI Agents • Pandaily

Reflection AI releases Apache 2.0-licensed weights for Beam, a 501B-parameter model: Reflection AI released Apache 2.0-licensed weights for Beam, a 501B-parameter model. The model was trained with reinforcement learning that penalized unnecessary tokens. The company is pitching Beam against Chinese open models used by many U.S. companies.

Open Source AI • Techmeme