Model Detail

OpenAI: o3 Deep Research is a multimodal model released by OpenAI. And supports text+image+file->text inputs.

OpenAI: o3 Deep Research is priced at $10/M input tokens and $40/M output tokens. Operationally the model offers a 200K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. This is frontier pricing, so cost-fit usually depends on whether the per-call quality justifies running a smaller commodity model two or three times to compare.

OpenAI: o3 Deep Research is published on Hugging Face but our pipeline has not yet captured architecture, license, or parameter-count metadata for this entry. The data is refreshed daily, so these fields typically populate within 24–48 hours of release.

OpenAI: o3 Deep Research 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). It is a less obvious choice for cost-sensitive batch processing where a commodity-tier model could be retried cheaply. 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.