Releasesby GlyphPost-training: Nemotron 3.5 Super VL
Together AI added post-training support for NVIDIA Nemotron 3.5 Super VL. The platform supports LoRA training on B200-SXM GPUs with context windows up to 163,840 tokens, rank up to 32, and up to three adapter sessions per resource.
Also shipped Nov 13, 2026Together AI in November 2026 →
AI Function task support in Declarative Automation Bundles (Beta)
Databricks introduced Beta support for AI Function tasks within Declarative Automation Bundles.
Give agents only the access they need
Buildkite released token permissions and queue scopes for agent tokens, allowing teams to restrict agent capabilities and limit job acceptance to specific queues.
Many-to-many relationships in semantic views (Preview)
Snowflake Cortex AI launched a public preview for modeling many-to-many relationships between logical tables within semantic views.
BigQuery connections for MySQL, Oracle, and PostgreSQL are in preview
Google Cloud introduced BigQuery federated query connections to MySQL, Oracle, and PostgreSQL in public preview.
Upcoming deprecation of selected GitHub Copilot models in December
GitHub announced the upcoming deprecation of several Copilot models on December 14, 2026, including Claude Fable 5, Gemini 3.8 Flash, and Grok 4.6.
Aurora PostgreSQL with express configuration now supported in CloudFormation
AWS added support for Aurora PostgreSQL express configuration in CloudFormation, enabling single-property automated cluster creation and faster serverless database setup.
More from Together AI platformEvery Together AI platform release →
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).
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.