Releasesby GlyphNew 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.
Also shipped Nov 5, 2026Together AI in November 2026 →
Gemini Omni 1.2 Flash
Gemini Omni 1.2 Flash is now generally available, offering omni-modal processing for text, image, and video. New features include standalone video upscaling, extended generation durations, and reference-guided video editing.
Use GPT-6-Cyber to investigate vulnerabilities, reproduce them in an authorized test environment, and verify
OpenAI has released GPT-6-Cyber, a model designed to investigate vulnerabilities, reproduce them in authorized environments, and verify fixes.
Gemini Enterprise: Prepaid credits for Pay-as-you-go subscriptions and usage above quota
Prepaid credits are now generally available for self-serve Cloud Billing accounts, allowing users to pay for Gemini Enterprise usage without an invoiced billing account.
The BigQuery Metadata curation console page has been removed
The BigQuery Metadata curation console page has been deprecated. Users should now use Knowledge Catalog for data discovery, profiling, and governance tasks.
Conversational analytics in BigQuery is now available in the asia-northeast1 (Tokyo) location
Conversational analytics in BigQuery is now supported in the asia-northeast1 (Tokyo) region.
Announcing Web Answer on Amazon Bedrock AgentCore
Web Answer is now generally available on Amazon Bedrock AgentCore. It provides a managed tool that returns synthesized, cited answers grounded in web sources in a single call.
More from Together AI platformEvery Together AI platform release →
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 .
Post-training: MiniMax M3 retired
MiniMaxAI/MiniMax-M3 is no longer available for new post-training model resources. Use MiniMaxAI/MiniMax-M3.1-Flash instead. Existing MiniMax M3 model resources keep running, and their checkpoints stay available for download. See Supported models .
Post-training: GLM-5.3 Flash
zai-org/GLM-5.3-Flash is available for post-training : LoRA training on B200-SXM , a 159,744-token training context, a 163,840-token generator context, rank up to 32, and up to five adapter sessions per resource. The cookbook renders its prompts with the GLM codec.
Post-training: MiniMax M3.1 Flash
Together AI now supports LoRA training for the MiniMax M3.1 Flash model, featuring a 262,144-token context window.