# Together AI — Fine-Tuning Small Open-Source LLMs to Outperform Large Closed-Source Models by 60% on Specialized Tasks

- Company: Together AI (together.ai)
- Announced: 2025-08-15T00:00:00+00:00
- Category: partnership-acquisition
- Subject: Inference platform
- Models affected: Gemma 3 27B, Claude Sonnet 4
- Source: https://www.together.ai/blog/fine-tune-small-open-source-llms-outperform-closed-models
- Record: https://forck.live/items/2415-fine-tuning-small-open-source-llms-to-outperform-large-closed-source-models-by

Together AI and Parsed demonstrate that fine-tuned small open-source models, using Together AI's fine-tuning platform, can outperform large closed-source models by 60% on specialized healthcare tasks while reducing inference costs by 10-100x.

## Evidence

Verbatim from https://www.together.ai/blog/fine-tune-small-open-source-llms-outperform-closed-models:

> Their approach delivers 60% better accuracy, 10–100x lower inference cost, and greater transparency and reliability.

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Record: https://forck.live/items/2415-fine-tuning-small-open-source-llms-to-outperform-large-closed-source-models-by
Catalogue: https://forck.live/llms.txt
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