Agents
Highlights: 👉 28% coding improvement over GLM-5 with refined RL post-training 👉 Better long-horizon execution across hundreds of rounds an…
Highlights: 👉 28% coding improvement over GLM-5 with refined RL post-training 👉 Better long-horizon execution across hundreds of rounds and thousands of tool calls 👉 Thinking mode, tool calling, and s
Highlights: 👉 28% coding improvement over GLM-5 with refined RL post-training 👉 Better long-horizon execution across hundreds of rounds and thousands of tool calls 👉 Thinking mode, tool calling, and structured JSON output for agent pipelines 👉 Production-ready on the AI Native Cloud—99.9% SLA, serverless and dedicated options
Related
- GLM-5.1 gives teams a stronger model for coding, tool use, and sustained agent performance on Together AI. Learn more: http://www.together.a…
- Highlights: 👉 Configurable thinking mode for step-by-step reasoning 👉 Multimodal understanding with text and image input, including docume…
- Introducing GLM-5.1 from @Zai_org on Together AI. AI natives can now use GLM-5.1 on Together and benefit from reliable inference for product…
- I open-sourced an agent architecture that’s born for long-horizon tasks, which Manus and OpenClaw don’t natively support very well
- Deep Agents deploy gets you: - Deep Agents harness - Sandbox of your choice (@daytonaio , @modal , @RunloopDev ) - Short and long term memor…
Source: Together AI (X) | 2026-04-08