Releasesby GlyphNew serverless models
The following models are now available on serverless : zai-org/GLM-5.3 : 1,000,000 context length, FP4 quantization, function calling and structured outputs. Pricing: $1.40 input / $4.40 output / $0.26 cached input (per 1M tokens).
Also shipped Aug 28, 2026Together AI in August 2026 →
Monitor and cap external provider costs
Unity Gateway can now track and cap spend on external model providers, such as Amazon Bedrock and Azure AI Foundry, not just Databricks-provided models. If your organization already has capacity commitments directly with a provider, Unity Gateway becomes the single point to track that usage and enforce spend limits across teams and use cases.
Unity Catalog Skills (Beta)
You can now publish, govern, and share agent skills with Unity Catalog. A skill is a first-class Unity Catalog securable ( catalog.schema.skill ) that follows the SKILL.md specification , so you register it once and control who can discover, use, and update it with the same permissions, tags, and audit that protect your tables.
Looker visual modeling canvas for BigQuery enters preview
A drag-and-drop canvas builds and edits LookML models on BigQuery sources: join tables, define dimensions and measures, preview results and publish Explores without writing LookML.
Conversational Analytics verified queries , also known as golden queries , are now generally available
Conversational Analytics verified queries , also known as golden queries , are now generally available. You can also now define verified queries in Looker (Google Cloud core) instances.
Now available in preview, model localization is supported for imported projects
Now available in preview, model localization is supported for imported projects. By default, Looker uses the locale definitions from the importing project only, if the importing project has locale definitions.
More from Together AI platformEvery Together AI platform release →
active_sessions autoscaling metric for TTS
Dedicated endpoint autoscaling now accepts active_sessions , which targets concurrent open client WebSocket sessions per replica on a TTS deployment ( AVERAGE_VALUE only). The default inflight_requests metric also covers TTS handlers, so HTTP TTS traffic can keep scaling without a policy change. See Configure autoscaling .
Billing usage API (beta)
GET /billing/usage returns organization-wide usage and cost line items, filterable by month. The endpoint is in beta and enabled per organization. See Get billing usage .
File upload progress in the CLI and Python SDK
tg files upload and tg files check now show a progress bar in interactive terminals. The Python SDK accepts an optional progress_callback on client.files.upload() that receives upload progress events. See the files CLI reference and Data preparation .
Slurm cluster kubeconfig for project members
Project members can now download the cluster kubeconfig for Slurm clusters from the cluster details page, matching Kubernetes cluster behavior. See Download cluster kubeconfig .
Legacy API key regeneration
Legacy API keys can now be regenerated by any admin or editor of the default project. Legacy keys appear in the project's API keys table with a Deprecated badge. See Legacy API keys .
Model deprecations
The following models have been deprecated and are no longer available on serverless: nvidia/Nemotron-3-ultra-550b-a55b . pearl-ai/gemma-4-31b-it . deepseek-ai/DeepSeek-V4-Pro . Use deepseek-ai/DeepSeek-V4-Pro-0813 instead. moonshotai/Kimi-K2.7-Code .
Batch jobs in the CLI
The Together CLI now includes a tg batches command group for batch inference : tg batches submit uploads a local JSONL file (or takes an existing file ID) and creates a job against chat.completions , audio.transcriptions , or audio.translations . tg batches list , retrieve , and cancel manage the job lifecycle, with ls and get as aliases.
New serverless models
The following models are now available on serverless : zai-org/GLM-5.3-Flash : 1,000,000 context length, FP8 quantization, function calling and structured outputs. Pricing: $0.15 input / $0.50 output / $0.03 cached input (per 1M tokens).