Together AI is a full-stack AI cloud platform for building, fine-tuning, and deploying open-source AI models, including serverless and dedicated inference, batch inference, provisioned throughput, GPU clusters, managed storage, code sandboxes, and fine-tuning.
Recent stories
Together AI said it ranked first or tied first on three of four Kimi K3 provider benchmarks, while Baseten described a 2.8T-parameter Blackwell GB300 serving stack. Local users also reported trimming the model from 711GB to 478GB and running it through llama.cpp RPC across clusters.
Baseten and Together AI added DeepSeek V4 Flash with a 1M-token context window, reasoning-effort controls, and DSpark decoding. ValsAI ranked it the cheapest model above 60 on its index, and Nous promoted a short 90% discount.
Thinking Machines released Inkling with Apache 2.0 weights, 975B parameters, 41B active parameters, text/image/audio support, and up to 1M context. vLLM, SGLang, Modal, Databricks, and Vercel added day-zero support.
BrowserCode, Hyper, OpenCode, Together, and other vendors added GLM-5.2 soon after release. That turns the open model into a deployable option across coding, browser automation, and hosted chat.
Together AI said its DeepSeek V4 Pro deployment now leads Artificial Analysis on both output speed and latency. The claim matters because it turns V4 serving into an inference-systems story about KV cache reuse, prefix reuse, kernels, and endpoint profiles rather than model weights alone.
Alibaba launched Qwen3.7 Max as its new flagship agent model with 1M context, stronger coding and reasoning scores, and cross-harness benchmarks. OpenRouter, Together, AI Gateway, and Kilo support it on day one, making it ready for immediate deployment.
Together AI launched Gemma-4-31B-it-Pearl as a serverless endpoint that uses Pearl's proof-of-useful-work emissions to offset inference cost. It matters because the pricing model ties serving economics to compute-side byproducts instead of token billing alone.