OpenAI: o4 Mini High (batch) · OpenAI
OpenAI o4 Mini High is the same model as o4-mini with reasoning_effort set to high. It delivers enhanced reasoning capabilities while maintaining cost efficiency. Optimized for fast performance with extended 200,000 token context window.
About OpenAI: o4 Mini High (batch)
OpenAI o4 Mini High is the same model as o4-mini with reasoning_effort set to high. It delivers enhanced reasoning capabilities while maintaining cost efficiency. Optimized for fast performance with extended 200,000 token context window.
Where it shines: Deep reasoning · Batch processing · 200K token context.
How to use OpenAI: o4 Mini High (batch)
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Type or upload
Type what you want in the box above — or upload the file if the tool asks for one.
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Generate
Click the main button. Wait 2-30 seconds depending on the model and input size.
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Download or share
Download the result or share the direct link. No watermark, ready to use.
Frequently asked questions
How much does it cost to use OpenAI: o4 Mini High (batch)?
OpenAI: o4 Mini High (batch) is a Pro model: it costs 15 tokens per use (~$0.07 real cost for us). You need a Pro plan ($9/month → 15,000 tokens) or a one-shot pack. If you already have tokens in the free account, you can also spend them directly.
How many OpenAI: o4 Mini High (batch) uses are included in the Pro plan?
Pro ($9/month) gives you 15,000 recurring tokens. At 15 tokens per OpenAI: o4 Mini High (batch) use, that's ~1,000 full uses per cycle. If you run out, one-shot packs (5,000 / 25,000 / 80,000 tokens) add to the balance without expiring before one year.
What makes OpenAI: o4 Mini High (batch) special?
OpenAI is the lab behind ChatGPT; its models have broad world knowledge and polished outputs. Its specific strengths are deep reasoning, batch processing, and 200k context tokens. It accepts images as input (multimodal) as well as text — useful for describing captures, reading graphs, or solving problems from a photo.
How fast does OpenAI: o4 Mini High (batch) respond?
OpenAI: o4 Mini High (batch) has a balanced speed: 5-15 seconds per response — neither the fastest nor the slowest in the catalog. The actual time also depends on the length of the prompt and the load of the datacenter — models with huge context take longer when you enter very long texts.
How do I use OpenAI: o4 Mini High (batch) in ia.gratis?
You can use OpenAI: o4 Mini High (batch) from /chat/ by selecting OpenAI: o4 Mini High (batch) in the picker, or via the REST API with `model=o4-mini-high-batch` in the POST body. Quick summary: openAI o4 Mini High: compact reasoning model with high effort and 200K tokens. The internal model identifier is `o4-mini-high-batch` — useful when integrating by API.