Model Detail
OpenAI: o3
—OpenAI: o3 is a multimodal model released by OpenAI. And supports text+image+file->text inputs.
OpenAI: o3 reports a Chatbot Arena ELO of 1,431 across 60,179 votes. Other benchmark slots are still empty in our dataset, so this single figure is best read as a partial picture rather than a full evaluation.
OpenAI: o3 is priced at $2/M input tokens and $8/M output tokens. Operationally the model offers a 200K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. Pricing in this range is the working middle of the API market — neither the cheapest nor the most expensive option per token, so cost-fit is usually a function of how much output you generate.
The published knowledge cutoff is 2024-06-30, so newer events will not be reflected in zero-shot answers without retrieval.
OpenAI: o3 is best fit for mixed text-and-image reasoning tasks such as document understanding, and long-context tasks such as full-codebase analysis or book-length summarization (200K 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.