Open LLMs Leap Ahead: Fine-Tuning Outperforms GPT-5.2!
Analysis
Together AI has achieved a remarkable breakthrough by fine-tuning open-source LLMs! Their results demonstrate that models like gpt-oss 120b and Qwen3 235B Instruct can surpass GPT-5.2 in evaluating model outputs, offering a compelling advantage in both cost and speed. This opens exciting new possibilities for accessible and efficient AI development.
Key Takeaways
- •Fine-tuned open-source LLMs, like gpt-oss 120B, are shown to surpass GPT-5.2 in output evaluation.
- •These models achieve superior performance at a significantly lower cost, up to 15x cheaper than GPT-5.2.
- •The fine-tuned models also offer dramatically faster speeds, with some achieving 14x the speed of GPT-5.2.
Reference / Citation
View Original"Open-source LLM judges fine-tuned with DPO can outperform GPT-5.2 at evaluating model outputs."
T
Together AIFeb 3, 2026 00:00
* Cited for critical analysis under Article 32.
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