OpenAI: GPT-4.1 Nano

OpenAI's GPT-4.1 Nano, created April 14, 2025, is positioned as a fast and cost-effective model within the GPT-4.1 series, ideal for low-latency tasks like classification and autocompletion. It performs among the fastest models, ranking in the 76th percentile for speed across six benchmarks, and offers competitive pricing, ranking in the 78th percentile for cost-effectiveness. Demonstrating exceptional reliability, it consistently provides usable responses with minimal technical failures, achieving a perfect 100th percentile. The model exhibits strong performance in specific areas. It achieved perfect accuracy in the Ethics (Baseline) benchmark, notably being the most accurate model at its price point and among models of similar speed. Its General Knowledge (Baseline) performance was also very strong at 96.5% accuracy. While its Coding (Baseline) accuracy was 84.0%, it was highlighted as the most accurate among models of comparable speed. However, its performance in Instruction Following (Baseline) and Reasoning (Baseline) was moderate at 56.0% accuracy for both, suggesting these areas could be potential weaknesses. The Email Classification (Baseline) accuracy of 92.0% was solid but ranked lower compared to other models. Its 1 million token context window and MMLU, GPQA, and Aider polyglot coding scores further underscore its capabilities for demanding tasks.