OpenAI Pro · $9/month 15 tokens / message Balanced

OpenAI: o3 Mini (batch) · OpenAI

OpenAI o3 Mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoning_effort parameter and offers efficient batch processing with 200,000 token context.

Advanced STEM reasoning Cost-effective batch processing Extended 200K token context

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About OpenAI: o3 Mini (batch)

OpenAI o3 Mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoning_effort parameter and offers efficient batch processing with 200,000 token context.

Where it shines: Advanced STEM reasoning · Cost-effective batch processing · Extended 200K token context.

How to use OpenAI: o3 Mini (batch)

  1. 1

    Type or upload

    Type what you want in the box above — or upload the file if the tool asks for one.

  2. 2

    Generate

    Click the main button. Wait 2-30 seconds depending on the model and input size.

  3. 3

    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: o3 Mini (batch)?

OpenAI: o3 Mini (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: o3 Mini (batch) uses are included in the Pro plan?

Pro ($9/month) gives you 15,000 recurring tokens. At 15 tokens per OpenAI: o3 Mini (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: o3 Mini (batch) special?

OpenAI is the lab behind ChatGPT; its models have broad world knowledge and polished outputs, its specific strengths are: advanced stem reasoning, economical batch processing and extended context 200k tokens.

How fast does OpenAI: o3 Mini (batch) respond?

OpenAI: o3 Mini (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: o3 Mini (batch) in ia.gratis?

You can use OpenAI: o3 Mini (batch) from /chat/ by selecting OpenAI: o3 Mini (batch) in the picker, or via the REST API with `model=o3-mini-batch` in the body of the POST. Quick summary: openAI o3 Mini: economic model optimized for STEM reasoning with 200K tokens. The internal model identifier is `o3-mini-batch` — useful when integrating by API.