Data and AI releases

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1,990 this month · 171 companies

New serverless models

Update8 days agoUnverifiedAdded Oct 17, 2026

The following models are now available on serverless : reflection/Beam-1.0-501B-A23B : 1,048,576 context length, NVFP4 quantization, function calling, and structured outputs. Pricing: $0.40 input / $1.20 output / $0.04 cached input (per 1M tokens).

Topics: Pricing

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Updateunverified

New serverless models

The following models are now available on serverless : meta-models/Muse-Spark-Open-816B-A42B : 1,048,576 context length, NVFP4 quantization, function calling, and structured outputs. Pricing: $1.25 input / $4.25 output / $0.15 cached input (per 1M tokens).

Updateunverified

New serverless models

The following models are now available on serverless : deepseek-ai/DeepSeek-V4.1-Flash-1017 : 1,000,000 context length, FP8 quantization, function calling, and structured outputs. Pricing: $0.30 input / $1.20 output / $0.006 cached input (per 1M tokens).

Updateunverified

Post-training

Post-training lets you write your own training loop and run it against Together AI GPUs. Your code builds each batch and chooses the loss function and learning rate, while the GPUs you provision run the forward and backward passes, optimizer steps, and sampling. It bills per GPU-minute.

Betaunverified

What's included:

- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.

Updateunverified

New serverless models

The following models are now available on serverless : MiniMaxAI/MiniMax-M3.1-Flash : 1,048,576 context length, NVFP4 quantization, function calling, and structured outputs. Pricing: $0.15 input / $0.60 output / $0.015 cached input (per 1M tokens).

Deprecationunverified

Dynamic rate limits for serverless retired

Serverless no longer applies dynamic rate limits that scale with your recent traffic. Most users will no longer encounter rate limits, though requests can still be limited during periods of high demand. If you get a 429 Too Many Requests response, reduce your request rate and spread out bursts.

Betaunverified

Together Link beta

Together Link runs six coding agents on models hosted by Together AI: Claude Code, Codex, OpenCode, and Pi Code in the terminal, plus Claude Desktop (including Cowork) and ChatGPT Desktop. Install it with one command, launch your agent through it, and your normal agent configuration stays untouched. It's now in beta on macOS and Linux.

Also shipped on Oct 16, 2026

Together AI in October 2026
Betaunverified

2026.10.08

Make a voice you already have speak another language or accent, with the same speaker. Call POST /voice-generator/localize on a flagship or custom voice, pick an accent, and get candidates back in seconds to audition and convert like Voice Design candidates. GET /voice-generator/available-accents lists the accents you can target.

Betaunverified

Cloud Agent Canvases and Environment Improvements

Canvases from cloud agents Cloud agents can now build interactive canvases as part of their work. Share a finished canvas with your team by sending its link. Learn more about sharing canvases . Environments API The Environments API is now available in beta. Use it to programmatically create and manage the cloud environments your agents run in.