o4 Mini High
OpenAI · released Apr 16, 2025
- Type
- Closed
- Input
- $1.10
- Output
- $4.40
- Cached
- $0.28
List price · per 1M tokens · OpenAI at 200K context · source ↗
Our take
The case for it
- First of 16 on LiveCodeBench via High as of 28 Sep 2026, a set of contamination-free competitive programming problems — set-piece exercises rather than fixing issues in an existing project.
- A long report or a stack of documents can go in beside the question without being split up first, though reliable recall across all of it is unverified in our data.
- Images and files go into the same request as the text, so a screenshot or a document does not have to be described in words first.
The case against it
- We list no download for it, so using it means choosing a host, and both listed hosts charge the same rate, so price cannot pick between them.
- Competitive programming is the only measured quality here: 87.3% pass on LiveCodeBench via High, with nothing supplied on chat quality, general reasoning, or performance inside an agent harness.
How good is it?
EverydayGeneral questions and everyday reasoning
Not yet scored on Arena Text (overall).
CodingWriting and fixing code on its own
Not yet scored on Arena Coding. It is on LiveCodeBench, in 1st of 16 with 87.3.
AgenticPlanning, calling tools, staying on task
Not yet scored on Arena Agent.
WritingDrafting and rewriting prose
Not yet scored on Arena Creative Writing.
Every published score for this model1 scoreEvery figure we hold, from 1 board, with who ran it and a link to the source — including the boards no rating above is built on.
Where to rent it
Prices checked 4 hours 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
- $1.10 in / $4.40 out
- Context served
- 200K
- Throughput
- ~125 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $1.10 / $4.40checked 4 hours ago | 200K | not measured | Unknown | Unknown | Unknown |
| OpenAIThrough OpenRouter | $1.10 / $4.40checked 4 hours ago | 200K100K max reply | 125 tok/s | 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.
Models people weigh against o4 Mini High
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
- 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-high