o4-mini High
o4-mini High is o4-mini operating with a high-effort reasoning budget — more internal thinking steps are allocated per query compared to the default configuration. o4-mini is OpenAI's compact reasoning model in the o4 family, designed to deliver strong reasoning quality at lower cost and latency than o4, while the high-effort mode pushes accuracy closer to larger reasoning models for difficult problems.
This configuration is suited for tasks that are too complex for standard chat models but do not justify the full compute cost of o3 or o4. It occupies a practical middle ground: better than GPT-4o on multi-step logic and math, faster and cheaper than the full o4, with vision support included.
Key Features
High-effort reasoning mode allocating more thinking budget per query
Stronger accuracy than o4-mini default on hard reasoning problems
Vision input support for multimodal reasoning
Competitive performance on math, coding, and logical inference at reduced cost
Fast enough for interactive use cases compared to larger o-series models
Function calling and structured outputs for application integration
Ideal Use Cases
Challenging coding tasks requiring multi-step logic at moderate cost
Math tutoring and problem solving where standard models fall short
Document analysis requiring careful multi-step inference over long context
Agentic workflows where reasoning quality matters but budget is constrained
Example Prompts for o4-mini High
Technical Specifications
| Provider | OpenAI |
| Category | Reasoning |
| Modality | Text -> Text (reasoning) |
| Context Window | 200,000 tokens |
Frequently Asked Questions
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