OpenAI: o4 Mini High
Analysis Summary
OpenAI: o4 Mini High sits in the Legacy tier on our leaderboard, ranked #302 of 561 published models on overall intelligence. At $1.10 input and $4.40 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning.
Editorial notes
o4 Mini High from OpenAI includes vision, tool use, and function calling at $1.10/$4.40 per million tokens, but lacks benchmark data to differentiate it from the standard o4 Mini variant.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
OpenAI o4-mini-high is the same model as o4-mini with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining..
Capabilities
How does OpenAI: o4 Mini High stack up?
Compare side-by-side with other legacy models.
Model Information
| OpenRouter ID |
openai/o4-mini-high
|
| 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 ā refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 23, 2026 8:38 pm