OpenAI: o4 Mini
Analysis Summary
OpenAI o4 Mini is a compact reasoning model from OpenAI, optimised for mathematical and coding tasks. Its AIME and LiveCodeBench scores are among the highest in its price tier, and it supports vision, tool use, and function calling across a 200K context window. Instruction following is strong relative to its size.
For businesses, it is best suited to structured problem-solving, code generation, and mathematical workflows where its specialised strengths shine. Its agentic index of 35.4 is moderate, so it is less reliable for complex multi-step autonomous pipelines compared to o3 or frontier models. The 200K context is sufficient for most single-document tasks.
At $1.10/1M input and $4.40/1M output, it sits at a reasonable mid-market price. Teams running coding assistants, automated testing, or quantitative analysis tools will find it a cost-effective option, provided they do not need the broader reasoning depth of a full frontier model.
Assessed June 17, 2026
Editorial notes
OpenAI o4 Mini excels at mathematics and coding benchmarks, with vision, tool use, and function calling at a mid-range price, but its intelligence and agentic indices trail o3 for broader reasoning tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: o4 Mini compares
OpenAI: o4 Mini ranks #96 of 380 AI models we track for overall intelligence, #112 of 317 for coding, #129 of 292 for agentic tasks. Its 200K-token context window is larger than 65% of the models we list. At $1.10 per million input tokens it is cheaper than 22% of comparable models.
About OpenAI: o4 Mini
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: o4 Mini stack up?
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Model Information
| OpenRouter ID |
openai/o4-mini
|
| Provider | openai |
| Release Date | April 16, 2025 |
| Context Length | 200,000 tokens |
| Max Completion | 100,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.10 | $0.001100 |
| Output | $4.40 | $0.004400 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
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Frequently asked questions about OpenAI: o4 Mini
How much does OpenAI: o4 Mini cost?
OpenAI: o4 Mini costs $1.10 per million input tokens and $4.40 per million output tokens.
What is the context window of OpenAI: o4 Mini?
OpenAI: o4 Mini has a context window of 200,000 tokens (200K).
Is OpenAI: o4 Mini good for coding?
On our coding benchmark index, OpenAI: o4 Mini ranks #112 of 317 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: o4 Mini do?
OpenAI: o4 Mini supports image/vision input, tool use, and function calling.
Who created OpenAI: o4 Mini?
OpenAI: o4 Mini is developed by OpenAI and was released on April 16, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 17, 2026 9:41 am