o4 Mini Deep Research
OpenAI · released Oct 10, 2025
- Type
- Closed
- Input
- $2.00
- Output
- $8.00
- Cached
- $0.50
List price · per 1M tokens · OpenAI at 200K context · source ↗
Our take
Written Sep 3, 2026o4 Mini Deep Research is a proprietary reasoning model from OpenAI built for long-document and multimodal research tasks. It handles up to 200,000 tokens in a single request and is available from two hosts at matching rates.
Pick this for research workflows that need very long context and accept image or file inputs alongside text, where provider choice is not driven by price. Skip it if you need verified quality scores, a cheaper output tier, or the flexibility of downloadable weights.
The case for it
- 200,000-token request limit, among the largest we hold for this model class.
- Identical rates across both hosts, so provider shopping yields no arbitrage.
The case against it
- No benchmark scores in our data — chat, reasoning, coding and multimodal performance are all unverified.
- Output rate is premium with no cheaper tier available across either offer.
- Proprietary only; no open licence or self-hosting option.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked 2 months ago — each listing carries its own date.
OpenAI, through OpenRouter
The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts OpenAI on 200K of context.
- per 1M tokens
- $2.00 in / $8.00 out
- Context served
- 200K
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $2.00 / $8.00checked 2 months ago | 200K | not measured | Unknown | Unknown | Unknown |
| OpenAIThrough OpenRouter | $2.00 / $8.00checked 2 months ago | 200K | not measured | No | Yesunknown period | Unknown |
OpenRouterAcross the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| OpenAIThrough OpenRouter | ✓ | ✓ | ✓ |
Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text, images and documents in, text out
- Catalogue slug
- openai-o4-mini-deep-research