Reflection releases Beam, a 501B open-weight model
The startup's first frontier-scale model ships with downloadable weights and a mixture-of-experts design aimed at reasoning.
The new flagship is a sparse mixture-of-experts model with roughly 49B active parameters per token.
The startup's first frontier-scale model ships with downloadable weights and a mixture-of-experts design aimed at reasoning.
The company's newest flagship targets reasoning and coding while keeping a permissive open-source license.
A 30-billion-parameter multimodal model built to run locally, released under Apache 2.0 with an eye on agentic coding workflows.
A new open-weights parsing model from Tencent extends OCR beyond the page into audio and video inputs.
Alibaba's Qwen team ships a distilled, few-step variant of its image model built for speed.
The omni-modal model family leans on reinforcement learning to push reasoning without endless new supervised data.
The new LFM2-based d1-3B is a compact vision-language model aimed at running decisions directly on-device.
The team behind the Falcon language models expands into speech-to-text with its first automatic speech recognition release.
The Abu Dhabi lab behind the Falcon language models releases Falcon ASR, an open speech-to-text system.
Momentum
Benchmarks
| # | Model | Avg. |
|---|---|---|
| 1 | MaziyarPanahi/calme-3.2-instruct-78b | 52.1 |
| 2 | MaziyarPanahi/calme-3.1-instruct-78b | 51.3 |
| 3 | dfurman/CalmeRys-78B-Orpo-v0.1 | 51.2 |
| 4 | MaziyarPanahi/calme-2.4-rys-78b | 50.8 |
| 5 | huihui-ai/Qwen2.5-72B-Instruct-abliterated | 48.1 |
| 6 | Qwen/Qwen2.5-72B-Instruct Qwen · Alibaba | 48.0 |

Alibaba's Qwen team ships a distilled, few-step variant of its image model built for speed.
The new MiMo-V2.6-Distill-Qwen-9B targets agentic workloads, coding, and tool use in a size that fits on modest hardware.
Kandinsky Lab's new foundation models produce synchronized sound and motion from a text prompt, in 3B and 29B sizes.

A new open-weights parsing model from Tencent extends OCR beyond the page into audio and video inputs.
Alibaba's next Qwen release pairs a large parameter pool with a tiny active footprint, promising speed without the full compute bill.
The new mixture-of-experts model is billed as more capable than V4 Pro while costing less to run, and ships under an MIT license.
A 5B-parameter autoregressive world model blends action and text control to generate interactive environments on the fly.