OpenAI: GPT-5 Mini (batch)
- by openai
- openai/gpt-5-mini:batch
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
What the numbers mean
- Context window400,000 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 300,000 words, or 600 pages.
- Max output128,000 tokens
- The longest single reply it can write: about 96,000 words.
- Input price$0.13 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs less than a cent.
- Output price$1 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.
- Modalitiestext, image, 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 cutoff2024-05-31
- 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.
include_reasoningmax_tokensreasoningreasoning_effort