GPT-4.1 Mini
GPT 4.1 Mini is a small model launched by OpenAI that has made significant progress in performance. It performs excellently in many benchmarks, even surpassing GPT-4o. GPT-4.1 Mini matches or exceeds GPT-4o in intelligence assessments while reducing latency by nearly half and costs by 83%. This makes GPT-4.1 Mini an ideal choice for applications requiring efficiency and economy. Its pricing is $0.40/million tokens for standard input, $0.10/million tokens for cached input, and $1.60/million tokens for output. Additionally, using the Batch API can save 50% on input and output costs.
GPT-4.1 Nano
GPT 4.1 Nano is OpenAI's smallest, fastest, and most economical model, designed for applications requiring quick response and low-cost operation. It offers highly competitive pricing (standard input $0.10/million tokens, cached input $0.025/million tokens, output $0.40/million tokens). It achieves excellent results in benchmarks such as MMLU, GPQA, and Aider polyglot coding. Although its accuracy is slightly lower for some complex tasks, its efficient performance and highly competitive price make it an ideal choice for high-volume, cost-sensitive applications.