OpenAI: GPT-5.4 MiniModel25/100 via “few-shot learning with in-context example optimization”
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
Unique: GPT-5.4 Mini uses a learned ranking function to automatically select and order few-shot examples based on relevance to the current task, rather than requiring manual example curation. The model learns which examples are most informative and orders them to create an optimal learning trajectory, improving few-shot performance without additional training.
vs others: More effective few-shot learning than GPT-4 because automatic example ranking adapts to task-specific patterns; faster than full GPT-5.4 through efficient example selection that reduces context window usage while maintaining learning effectiveness.