OpenAI · o-series

o4 Mini

Fast, cheap reasoning for high-volume intelligent tasks.

The o4 Mini is a model developed by OpenAI as part of the o-series lineup, designed for practical multimodal applications across text, image, and file processing. Its standout feature is a 200,000-token context window, enabling expansive text processing in a single input, making it suitable for handling extensive data sets and complex workflows.

As a mid-tier option within the o-series, the o4 Mini balances performance with cost-efficiency, offering developers and product teams a versatile tool for tasks requiring large input capacity and cross-modality integrations. It aligns with OpenAI's broader goal of advancing AI for real-world deployments.

The o4 Mini occupies a mid-tier position within OpenAI's o-series, introducing a 200,000-token context window and multimodal capabilities compared to its predecessors. It is designed to deliver robust functionality without the premium costs of higher-tier models.

Specs

Context window: 200K tokens
Max output: 100K tokens
Input ($/1M tokens): $1.10
Output ($/1M tokens): $4.40
Modalities: Image · Text · File
Released: Apr 16, 2025
Weights: Closed

Pricing last synced Apr 27, 2026 via OpenRouter. Confirm against official docs before committing.

Capabilities

Tool use
Vision
Extended thinking
Prompt caching
Open weights

What it excels at

Expanded context window
Supports up to 200,000 tokens, enabling comprehensive text and data processing in a single operation.
Multimodal integration
Processes text, image, and file inputs seamlessly for versatile workflows.
Cost efficiency
Competitively priced for input and output tokens, balancing affordability with performance.
Versatility in application
Well-suited for tasks ranging from document analysis to chatbot workflows, with no compromise in performance.

When to use this model

→Document summarization - The large context window captures the full scope of lengthy documents for concise summaries.
→Multimodal chatbot development - Supports coherent dialogue management while handling text and image-based inputs effectively.
→Content generation - Produces long-form, contextually relevant content for varied applications.
→Data extraction from files - Analyzes diverse file types in large batches thanks to multimodal support.

Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.

API model id

o4-mini

Vendor docs: platform.openai.com/docs

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