New serverless models
The following models are now available on serverless : thinkingmachines/Inkling-2-Small : 1,048,576 context length, NVFP4 quantization, text and image input, function calling, and structured outputs. Pricing: $0.30 input / $1.00 output / $0.03 cached input (per 1M tokens).
Also shipped Nov 12, 2026Together AI in November 2026 →
Genie ZeroOps is available in Beta
Genie ZeroOps is now in beta, providing automated monitoring for jobs, pipelines, and tables. It detects failures and data quality issues, investigates root causes, and proposes fixes.
You can track table-level data lineage in Knowledge Catalog for BigQuery pipelines
You can track table-level data lineage in Knowledge Catalog for BigQuery pipelines. For more information, see Track data lineage . This feature is generally available (GA).
BigQuery generative AI functions now support the gemini-4-hydrogen model
BigQuery generative AI functions now support the gemini-4-hydrogen model. This model is generally available .
Amazon Aurora and RDS now support Graviton5-based R9g database instances
AWS Graviton5-based R9g database instances are now generally available for Amazon Aurora with PostgreSQL compatibility and MySQL compatibility, and for Amazon RDS for PostgreSQL, MySQL, and MariaDB.
[In preview] Public Preview: SQL performance monitoring for Azure SQL Managed Instance
The public preview of Microsoft-managed performance monitoring for Azure SQL Managed Instance is now available. Customers monitoring business-critical SQL Managed Instance workloads often rely on custom scripts and disconnected monitoring tools. This requ
Gemini Enterprise: Gemini 4 Hydrogen available in web app, mobile app, Workflow Builder, and AI developer tools
Gemini 4 Hydrogen is generally available (GA) for the Gemini Enterprise web app, mobile app, Workflow Builder, and AI developer tools. Location availability : Supported in global , us , and eu multi-regions, with data residency and ML processing support in us and eu . For more information, see Data residency for Gemini Enterprise .
More from Together AI platformEvery Together AI platform release →
New serverless models
The following models are now available on serverless : elorian-labs/glimpse-1.0 : 262,144 context length, FP8 quantization, function calling, and structured outputs. Pricing: $0.60 input / $3.00 output / $0.06 cached input (per 1M tokens).
New serverless models
Together AI added the moonshotai/Kimi-K3.1-Pro model to its serverless platform, supporting a 1M token context window, function calling, and structured outputs.
Messages API and Responses API support more models
The Messages API and Responses API now support more models: Serverless inference: zai-org/GLM-5.3-Flash and deepseek-ai/DeepSeek-V4.1-Flash-1017 . Dedicated model inference: zai-org/GLM-5.3 and deepseek-ai/DeepSeek-V4.1-Flash-1017 .
Post-training: Kimi K3.1 Pro
Together AI now supports LoRA post-training for the Kimi K3.1 Pro model with a 163,840-token training context.
Messages API and Responses API
Together AI now supports the Anthropic Messages API at POST /v1/messages and the OpenAI Responses API at POST /v1/responses . To run an app built on either API on Together, change its API key, base URL, and model.
Post-training: FP4 preparation for MiniMax M3.1 Flash
You can now deploy a MiniMax M3.1 Flash adapter on dedicated model inference by first preparing it for FP4 inference . The base model already ships in its serving format, so the job only merges the adapter, which takes about 1 hour.
Together Python SDK and CLI 3.1.0
Together Python SDK 3.1.0 and Together CLI 3.1.0 are now available.
What's new:
- Deploy after tg login : tg beta jig deploy now works with a tg login session, so you don't need an API key to deploy a container . Expiring secrets: client.beta.jig.secrets.create and update take ttl_seconds , which sets how long a secret lives before it's deleted, from one to 14 days. Secrets return their deletion time as expires_at .