OpenAI: GPT-4.1 Nano

GPT-4.1 Nano is OpenAI's entry-level multimodal model, accepting text, images, and files across a context window of roughly one million tokens. It supports tool use, which makes it usable in agentic pipelines, but it does not offer a reasoning mode and structured output support is unconfirmed. The large context window is a practical asset for long-document tasks even at this tier. At $0.10 per million input tokens and $0.40 per million output tokens, it is priced for high-volume or cost-sensitive workloads. Its blended benchmark score of 17.6 across only three benchmarks offers limited grounds for confidence in general capability assessments, so teams evaluating it for demanding tasks should run their own evals rather than rely on that coverage. It is a reasonable shortlist candidate for applications where throughput and per-token cost matter more than top-tier accuracy.