Moonshot AI has released Kimi K3.1 Pro, a post-trained upgrade of Kimi K3 that puts an open-weight-bound model within a point of Claude Opus 5.5 on a hard agentic coding benchmark. It costs a third less than K3 on the […]
Moonshot Launches Kimi K3.1 Pro: Near-Opus Coding at $2 per Million Tokens Read More »
Reflection AI has announced Beam, its first open-weight model. It is a sparse mixture-of-experts (MoE) model with 501 billion total parameters and 23 billion active per token, built for coding, reasoning and agentic work. Reflection says it will release the
Reflection Unveils Beam, a 501B Open-Weight Model Aimed at Coding Agents Read More »
Fireworks Research introduced Ember-1, a specialized model built on Moonshot’s Kimi K3 that aims for K3-class quality at about 40% fewer tokens. It is not a new base model. Fireworks post-trained K3 so it keeps the reasoning that matters and
Fireworks Ember-1: Kimi K3 Quality at About 40% Fewer Tokens Read More »
