Tasks and inputs
O4 Mini:Medium is listed for Text-to-text AI models. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
o4-mini is OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini. o3-mini also supports key developer features, like Structured Outputs, function calling, Batch API, and more. Like other models in the o-series, it is designed to excel at science, math, and coding tasks.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
O4 Mini:Medium is listed in Requesty’s public model catalogue under the exact routing identifier openai/o4-mini:medium. o4-mini is OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini. o3-mini also supports key developer features, like Structured Outputs, function calling, Batch API, and more. Like other models in the o-series, it is designed to excel at science, math, and coding tasks.
When the catalogue snapshot was collected, the catalogue records a context window of 200,000 tokens and a maximum output of 100,000 tokens. It records reasoning support, no vision-input flag, tool-calling support, and no image-generation flag. These fields describe the routing catalogue entry and should be rechecked against the current provider documentation before production use.
The source catalogue reports input and output prices when available. Pricing can depend on the route, region, token tier, cache use, account, and date, so this record does not infer a commercial commitment from a single snapshot. Confirm current pricing, data handling, regional controls, rate limits, and availability with the current upstream documentation.
Explore Openai via Requesty models and the text-to-text ai models collection. Use the comparison tool to inspect a second candidate.
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O4 Mini:Medium is listed for Text-to-text AI models. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 200K context and 100K maximum output. The listed route charges $1.10 input and $4.40 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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o3-mini is OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini. o3-mini also supports key developer features, like Structured Outputs, function calling, Batch API, and more. Like other models in the o-series, it is designed to excel at science, math, and coding tasks.
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