Releasesby IbisNew serverless models
Update6 days agoUnverifiedAdded Oct 20, 2026
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).
Topics: Pricing
More Together AI platform releases
Every Together AI platform releaseNew serverless models
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).
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).
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).
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.
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.
New provisioned throughput models
The following models are now available on provisioned throughput : zai-org/GLM-5.3 . zai-org/GLM-5.3-Flash . deepseek-ai/DeepSeek-V4.1-Flash .
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.
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 18, 2026
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