OpenAI: GPT-4.1 Mini (batch)
- by openai
- openai/gpt-4.1-mini:batch
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
What the numbers mean
- Context window1,047,576 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 790,000 words, or 1,600 pages.
- Max output32,768 tokens
- The longest single reply it can write: about 25,000 words.
- Input price$0.2 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs less than a cent.
- Output price$0.8 per million tokens
- What you pay for everything the model writes. Output usually costs more than input. A 500-word answer costs less than a cent.
- Modalitiesimage, text, file in, text out
- The kinds of content it accepts and the kinds it produces. A model that takes images in can read a screenshot; one that only puts text out cannot draw.
- Knowledge cutoff2024-06-30
- The last date its training data covers. It does not know about anything after that unless you put it in the prompt.
Supported parameters
The settings you can pass with a request. A model that lists tools can call functions; one that lists structured_outputs can be held to a JSON schema.
max_tokensresponse_formatseedstructured_outputstemperature