Model Detail

OpenAI: GPT-5 Nano is a multimodal model released by OpenAI. And supports text+image+file->text inputs.

OpenAI: GPT-5 Nano has been evaluated across multiple task suites. On task-specific evaluations the model scores 34.8% resolved on SWE-Bench.

OpenAI: GPT-5 Nano is priced at $0.05/M input tokens and $0.4/M output tokens. Operationally the model offers a 400K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.

The published knowledge cutoff is 2024-05-31, so newer events will not be reflected in zero-shot answers without retrieval.

OpenAI: GPT-5 Nano is best fit for mixed text-and-image reasoning tasks such as document understanding, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (400K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.