Releasesby Glyphactive_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 .
Also shipped Aug 29, 2026Together AI in August 2026 →
ai_transcribe function (Beta)
The ai_transcribe() SQL function transcribes an audio file into text. It returns the transcript as time-stamped segments, and labels each segment with a speaker when speaker diarization is enabled for your workspace. The output is a VARIANT value, so you can chain it into other AI Functions. This feature is in Beta . See ai_transcribe function .
OpenAI API mTLS and X.509 workload identity federation are GA
Mutual TLS and X.509 workload identity federation can be configured in the Platform console, with access governed by organization roles and permissions, enabling keyless authentication.
Zhipu AI GLM 5.3 now available as a Databricks-hosted model
Model Serving now supports GLM 5.3 as a Databricks-hosted model in supported US and Americas regions. This text-only mixture of experts (MoE) model supports a context window of up to 1,048,576 tokens, up to 65,536 output tokens, function calling, structured output, coding, agentic tool use, and always-on reasoning.
Restrict service principal OAuth secrets to specific API scopes
You can now restrict a service principal's OAuth secret to specific API scopes, such as sql or jobs , instead of all APIs. A token minted from a scoped secret can't exceed those scopes, which limits the impact of a leaked secret. See Authorize service principal access to Databricks with OAuth .
Recommended migrations
- MiniMax M2.7 , migrate to MiniMax M3 GPT OSS 20B , migrate to GPT OSS 120B or Qwen3 8B for lower-latency workloads Kimi K2.6 Turbo / Fast , migrate to Kimi K2.6 (standard mode) Kimi K2.7 Code Fast , migrate to Kimi K2.7 Code (standard mode) DeepSeek V4 Pro , migrate to DeepSeek V4 Pro (0813)
Edit Image Quality Update
Hey everyone, we've updated our V8.2 edit model for better image quality. If you've had any issues in the last 24 hours give it a new shot and keep giving us feedback. Thanks! More updates soon.
More from Together AI platformEvery Together AI platform release →
New 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).
New serverless models
The following models are now available on serverless : Qwen/Qwen3.8-Flash : 1,000,000 context length. Pricing: $0.15 input / $0.47 output (per 1M tokens).
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 .
Pricing update
H100 80GB dedicated endpoint hardware is now $3.99 per hour, down from $5.49. See Dedicated endpoint pricing .