AI Observatory / Model Radar
OpenAI / openai/o4-mini-deep-research
OpenAI: o4 Mini Deep Research
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
200,000
Context
100,000
Max output
$2.00 / 1M
Prompt price
2025-10-10
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | OpenAI | Input modalities | file, image, text |
|---|---|---|---|
| Output modalities | text | Prompt price | $2.00 / 1M |
| Completion price | $8.00 / 1M | Request price | N/A |
| Context length | 200,000 | Max completion tokens | 100,000 |
| Supported parameters | frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p | ||
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openai/o4-mini-deep-research
OpenAI: o4 Mini Deep Research
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Cross-modal work
Long context
Coding workflows
vision
tool-capable
long-context
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.