Qwen 27B Fine-tuning Context Extension
Extended fine-tuning context for Qwen 27B models to 131,072 tokens for SFT and 65,536 for DPO, with updated batch size limits.
26 releases from to
Everything Together AI shipped in September 2026, collected from official Together AI sources. Each entry is dated and links to the page it came from.
Together AI introduced new serverless models with extended context lengths, launched preemptible GPU compute for cost-effective scaling, and updated CLI tools with rollouts and HIPAA compliance features. They also reduced pricing for H100 dedicated endpoints and Qwen models, while deprecating several serverless models.
Summary generated from the releases listed below.
September 2026 was Together AI's busiest month of the 12 months to then: 26 releases, about 5.8× its monthly average of 5. That was 14 releases more than August 2026. Most were Infrastructure (14), followed by Model (5) and Developer Tools (3).
Releases
26
+14 vs August 2026
Rank of 12 months
1st
Average 4.5 a month
Most shipped
Infrastructure
14 releases
New serverless model with 32,768 context length and updated pricing details.
Source: Together AI ChangelogNew serverless model with 2k/sec pricing and 1,000,000 context length for inference tasks.
Source: Together AI ChangelogThe following model is now available on serverless: deepseek-ai/DeepSeek-V4.1-Flash. Pricing: $0.30 input / $1.20 output / $0.006 cached input (per 1M tokens).
Source: Together AI ChangelogNewest first. Each entry links to the official page it came from.
Extended fine-tuning context for Qwen 27B models to 131,072 tokens for SFT and 65,536 for DPO, with updated batch size limits.
Increased LoRA rank limit for fine-tuning to 128 for most models, with updated CLI/SDK versions required for optimal use.
You can now train low-rank adapters (LoRA) with a rank of up to 128 for the majority of models, up from 64. The default rank for these models stays at 64, so set lora_r to use a higher one.
Batch API files now retained for 7 days after processing, with access restrictions after expiration.
Deploy fine-tuned models using registry names instead of model_object_id, simplifying deployment workflows.
Deploy a fine-tuned model by its registry name using the Together CLI version 2.24.0 or later. The CLI resolves the name to the same model, so you can deploy straight from the name shown in the fine-tuning jobs dashboard.
New serverless model with 32,768 context length and updated pricing details.
Pricing reductions for Qwen models effective September 22, 2026, with updated cost structure for input/output 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, Qwen/Qwen3.8-Flash.
Automatic idle shutdown feature for dedicated deployments, allowing self-scaling based on inactivity timeouts.
Dedicated deployments can auto-shutdown after inactivity. Set --inactive-timeout to enable.
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 support.
The following models have been deprecated and are no longer available on serverless: openai/gpt-oss-27B, google/gemma-4-31B-it, thinkingmachines/Inkling-Small, intfloat/multilingual-e5-large-instruct.
HIPAA-compliant placement option for deployments, restricting them to HIPAA-attested clusters for compliance requirements.
Rollouts feature for shifting traffic between deployments without changing endpoint URLs, supporting canary, blue-green, and rolling strategies.
New serverless model with 2k/sec pricing and 1,000,000 context length for inference tasks.
The following model is now available on serverless: deepseek-ai/DeepSeek-V4.1-Flash. Pricing: $0.30 input / $1.20 output / $0.006 cached input (per 1M tokens).
New serverless model with 1,000,000 context length, FP8 quantization, and function calling capabilities.
Version 2.33.2 of the Together CLI improves error reporting and upload feedback: Endpoint, fine-tuning, and model commands now print the API’s error message when a request fails, rather than a generic failure notice.
Preemptible compute preview for GPU clusters with discounted rates, sub-hourly billing, and 5-minute drain windows for node reclamation.
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.
New serverless model available for fine-tuning with 1,000,000 context length and FP4 quantization.
Deprecation of openai/gpt-oss-20b and other models from serverless, with recommended replacements and migration guidance.
H100 80GB dedicated endpoint hardware is now $3.99 per hour, down from $5.49. See Dedicated endpoint pricing.
The following models are deprecated and will be removed from serverless on September 14, 2026: openai/gpt-oss-20b, google/gemma-4-31B-it, thinkingmachines/Inkling-Small, intfloat/multilingual-e5-large-instruct.
Pricing reduction for H100 80GB dedicated endpoints from $5.49 to $3.99 per hour.
Together AI releases per month, for September 2026 and the 11 months before it. A taller bar means more releases that month; the dated entries for each month are on its own page.
26 of the companies we track shipped in September 2026; Together AI ranks 2nd by number of releases.
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