All blog posts Inference Published 10/5/2026 Together Link: frontier-quality open models in the harness you already use Frontier open models in the coding agent you already use, for over 50% less Authors Will Van Eaton, Hassan El Mghari Table of contents 40+ Models Chosen for Production...40+ Models Chosen for Production...40+ Models Chosen for Production... Links in this article Together Link docs Together Link Summary Together Link connects the harness your team already uses to the best open models on Together AI and cuts your spend by over 50%. Same agent, same workflow, a fraction of the bill. Coding agents are now commonplace for engineering teams, and every task you give them, from a one-line fix to a full rewrite, often runs on the same premium model. At scale that gets expensive quickly: engineering orgs are spending anywhere from tens of thousands to millions of dollars a month on closed models. Open models have meaningfully closed the gap between top models from closed labs. Leaders like Kimi K3 and GLM 5.3 now handle many of the hardest coding tasks at a fraction of the per-token price, while small and capable models like GLM 5.3 Flash and DeepSeek V4.1 Flash handle everyday coding tasks. Together Link brings them into the tools your team already knows. Works where you already work Together Link supports Claude Code, Claude Desktop, Codex (in the ChatGPT app and the CLI), OpenCode, and Pi. Your team keeps working normally: settings and logins stay as they were, there's nothing new to learn, and going back to the native closed models takes one command. You can be up and running on open models in just a few minutes. Getting started curl -fsSL https://link.together.ai/install | bash Run one command to set up Together Link: Your agent opens exactly as before, now connected to Together AI with your Together AI API key. Create an account for an API key. Use “Auto” to pick a model with the Together AI Router: It reads each session's first task and sends it to the right model: quick fixes go to fast, low-cost models, and hard problems get frontier capability. If you bring an Anthropic key, it routes between Opus 5.5 and GLM 5.3. Without one, it routes between GLM 5.3 and GLM 5.3 Flash. Routing happens once per session, so prompt caching keeps working. See your savings after each session. A per-session tracker shows what you spent next to what the same session would have cost on Opus 5.5. Billing runs on your existing Together API key, against serverless pay-as-you-go or credit packs. You don't need a separate contract. Built on the serverless platform developers already choose Together Link runs on Together's serverless inference, the same infrastructure developers already pick for these models on OpenRouter. Together AI serves the largest share of OpenRouter tokens for DeepSeek V4.1 Flash (40.8%), GLM 5.3 Flash (28.2%), and Kimi K3 (23.1%), with competitive speed and pricing across the board. ( As of 9/30/2026 footnote ) Next steps Create a Together AI account. Read our docs . Rolling it out across your engineering org? Talk to our team and we'll help you plan it.
All blog posts Inference Published 10/5/2026 Together Link: frontier-q
All blog posts Inference Published 10/5/2026 Together Link: frontier-quality open models in the harness you already use Frontier open models in the coding agent you already use, for over 50% less Authors Will Van Eaton, Hassan El Mghari Table of contents 40+ M
这条信息对 FDE 的直接价值在于提醒交付人员持续关注模型、智能体与企业流程之间的变化。面对类似项目,应先确认客户的真实业务目标、数据边界、权限条件和验收指标,再选择工具并用最小场景验证结果,避免只追逐功能更新。