DeepSeek V4: 1M Context Open-Source LLM for Agents (2026)
DeepSeek V4 ships a 1M-token context window under MIT at a fraction of frontier pricing. When the huge context earns its keep for agents, and when it's a trap.
DeepSeek V4 ships a 1M-token context window under MIT at a fraction of frontier pricing. When the huge context earns its keep for agents, and when it's a trap.
Moonshot's Kimi K2.6 is a 1T-parameter open-weight MoE model for agents. What it's good at, where the params help, and how to wire it into a loop.
A head-to-head guide to open-weight LLMs for agents in 2026: Kimi K2.6, DeepSeek V4, GLM-5.1, Qwen 3.6. Which to pick for tool-use, context, or cost.
Qwen 3.6 is Alibaba's open-source LLM that punches above its size on SWE-bench. Why a smaller, efficient model is often the smarter agent default.