Data and AI releases

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Fine-tuning quality improvements

UpdateNot yet verified

Training quality has improved for fine-tuning on the following models: Qwen/Qwen3.5-0.8B . Qwen/Qwen3.5-2B . Qwen/Qwen3.5-4B . Qwen/Qwen3.5-9B . Qwen/Qwen3.5-27B . Qwen/Qwen3.5-35B-A3B . Qwen/Qwen3.5-35B-A3B-Base . Qwen/Qwen3.5-122B-A10B . Qwen/Qwen3.5-397B-A17B . Qwen/Qwen3.6-27B . Qwen/Qwen3.6-35B-A3B . nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 .

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Also shipped Aug 24, 2026Together AI in August 2026 →

Verkada connector (Beta)

The Verkada connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests organization audit logs and access users from your Verkada organization into Databricks. Authentication uses a Verkada organization API key. See Verkada connector .

Beta
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Model deprecations

The following models have been deprecated and are no longer available on serverless: google/gemma-3n-E4B-it . meta-llama/Llama-Guard-4-12B . These models are not supported by on-demand dedicated endpoints. See Deprecations for migration options.

Deprecation
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Longer context for GLM-5.2

zai-org/GLM-5.2 on serverless now accepts a 1,000,000-token context length, up from 512,000. Pricing is unchanged. See the GLM-5.2 quickstart .

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Batch jobs in the CLI

The Together CLI now includes a tg batches command group for batch inference : tg batches submit uploads a local JSONL file (or takes an existing file ID) and creates a job against chat.completions , audio.transcriptions , or audio.translations . tg batches list , retrieve , and cancel manage the job lifecycle, with ls and get as aliases.

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New serverless models

The following models are now available on serverless : zai-org/GLM-5.3-Flash : 1,000,000 context length, FP8 quantization, function calling and structured outputs. Pricing: $0.15 input / $0.50 output / $0.03 cached input (per 1M tokens).

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Billing usage API (beta)

GET /billing/usage returns organization-wide usage and cost line items, filterable by month. The endpoint is in beta and enabled per organization. See Get billing usage .

Beta
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File upload progress in the CLI and Python SDK

tg files upload and tg files check now show a progress bar in interactive terminals. The Python SDK accepts an optional progress_callback on client.files.upload() that receives upload progress events. See the files CLI reference and Data preparation .

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