The input file you upload for a batch job, along with the output and error files the job produces, are now retained for 7 days. After that the files are no longer accessible, so download your results before the window closes. Reusing an uploaded input file across batch jobs also works only within that window. See Batch inference .
TogetherLink runs coding agents such as Claude Code and Codex, plus the Claude and ChatGPT desktop apps, on models hosted by Together AI. It's now in beta, with automatic model routing, cost tracking, and a headless mode.
The following models are now available on serverless : together/Tev1-4B-experimental : 32,768 context length. Pricing: $0.042 input / free output (per 1M tokens).
The following models have lower pricing, effective September 22, 2026. All usage from that date forward is billed at the new rates (per 1M tokens): Qwen/Qwen3.7-Max : $2.50 → $1.50 (input), $7.50 → $4.50 (output). Qwen/Qwen3.8-Flash : $0.15 → $0.09 (input), $0.47 → $0.282 (output). See Serverless models for the full pricing catalog.
Deployments can now stop themselves when they go unused. Set an inactivity timeout with --inactive-timeout (the inactiveTimeout field in the management API), and if the deployment serves no inference requests for that many minutes, it scales to zero replicas, releasing its hardware and stopping billing. See Automatic idle shutdown .
Version 2.34.0 of the Together CLI and Python SDK carries the rollouts release above (the SDK surface is client.beta.endpoints.rollouts ) and also adds: HIPAA placement : tg beta endpoints deploy accepts --placement.hipaa to restrict a deployment to HIPAA-attested clusters. The Python SDK takes the same policy as compliance_policy on inline placement.
The following models are now available on serverless : MiniMaxAI/MiniMax-H3 : Pricing: $0.1391/sec at 2k.
The following models are now available on serverless : deepseek-ai/DeepSeek-V4.1-Flash : 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).
Preemptible compute is now in public preview for Kubernetes GPU clusters. Alongside standard nodes, you can set a preemptible GPU target, and Together provisions toward it as spare capacity becomes available, at a flat discounted rate relative to on-demand.
You can now fine-tune the following models: zai-org/GLM-5.3 . See Supported models for the full list.
The following models are deprecated and will be removed from serverless on September 14, 2026: openai/gpt-oss-20b . Recommended replacement: Qwen/Qwen3.5-9B . google/gemma-4-31B-it . Recommended replacement: zai-org/GLM-5.3-Flash . thinkingmachines/Inkling-Small . Recommended replacement: zai-org/GLM-5.3-Flash . intfloat/multilingual-e5-large-instruct .
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