A LinkedIn post from Together AI highlights the availability of Qwen3.5 9B, a multimodal foundation model from Qwen, on the Together AI platform. The post describes the model as supporting text, image, and video understanding, vision‑language reasoning, native tool calling, and 201‑language coverage for production‑scale agentic workflows.
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According to the post, Qwen3.5 9B uses a hybrid Gated DeltaNet architecture designed for high‑efficiency inference and offers a 262K native context window, which it suggests can be extended to more than 1M tokens for long‑horizon tasks. The content also references benchmark scores for tool calling (66.1% on BFCL‑V4 and 79.1% on TAU2‑Bench), indicating a focus on robust automation and agent capabilities.
The post further notes that the model is offered on Together AI’s AI Native Cloud with a 99.9% SLA and options for serverless or dedicated infrastructure, positioning the service as production‑oriented. For investors, this integration may signal efforts by Together AI to deepen its model catalog, enhance its value proposition to enterprise developers, and compete more directly in the growing market for multimodal, tool‑calling‑enabled AI platforms.
If adoption of Qwen3.5 9B proves strong among users requiring multimodal and long‑context capabilities, Together AI could see higher platform usage and improved customer retention. More broadly, the move underscores intensifying competition in AI infrastructure, where differentiation through model performance, reliability guarantees, and agentic workflow support is becoming increasingly important for market share and pricing power.