
GLM-5.2: Open Long-Horizon Agents at 1M Context
Z.ai's June 16 MIT release improves terminal, repository, tool-use, and long-running tasks through shared sparse indexing and controllable effort.
Engineering, infrastructure, and emerging AI systems

Z.ai's June 16 MIT release improves terminal, repository, tool-use, and long-running tasks through shared sparse indexing and controllable effort.

Moonshot's June 12 model lifts coding and MCP tool scores over K2.6 while cutting reasoning-token use about 30 percent, with full benchmark footnotes.

Google's experimental 26B MoE generates blocks in parallel, exceeds 1,000 tokens per second on H100, and exposes the quality-speed trade-off of text diffusion.

Anthropic's June 9 launch exposes the same frontier model through a guarded general tier and a restricted research tier, changing how benchmarks meet access control.

NVIDIA's June 4 model opens weights, data, and recipes for a 550B MoE with 55B active parameters, long context, NVFP4, and high-throughput agents.

Google's June 3 checkpoint brings encoder-free image and audio input, agentic reasoning, and multi-token drafting to a laptop-sized open model.

MiniMax combines sparse attention, native image and video input, computer use, and frontier coding in one open-weight model built for long-running work.

Anthropic's May 28 flagship improves repository work, long-horizon agents, computer use, and visual reasoning, with a system card that exposes the caveats.

Cohere's May 20 Apache-2.0 release unifies reasoning, vision, tools, retrieval, and 48 languages in a 218B MoE with only 25B active parameters.

Google's May 19 model pairs fast inference with strong coding, tool-use, multimodal, and long-horizon scores—but the harness still defines the result.

Alibaba's Qwen3.7 rollout spans a text flagship, a multimodal agent, and an efficient Flash tier—with one family story and several benchmark caveats.

Baidu's May 9 release compresses ERNIE 5.0, rebuilds reinforcement learning, and reports flagship reasoning at a fraction of the pretraining cost.