o4-mini

The o4-mini is a specialized reasoning model built to balance high-level cognitive performance with operational efficiency. As part of the o-series, it is designed to think through complex problems before generating a response, allowing it to tackle intricate challenges in fields like mathematics, programming, and data analysis. The model is engineered to act agentically, meaning it can autonomously determine when and how to utilize a suite of integrated tools—such as web searching, Python-based data processing, and visual input analysis—to deliver comprehensive and accurate results.

This model represents a significant step in the evolution of reasoning-focused AI, offering a more streamlined alternative to larger, more resource-intensive models. By design, it is multimodal, enabling it to process and reason about visual information alongside text. Its training lineage emphasizes the ability to manage complex workflows and tool integration, making it a practical choice for users who require reliable, thoughtful outputs for demanding tasks. As a core component of modern AI infrastructure, it is positioned to support both individual researchers and enterprise-level applications that prioritize a balance between speed and deep analytical capability.

AIHubMixo4-minio-mini

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Quick Info

Provider: AIHubMix
Model key: o4-mini
Release date: Apr 16, 2025
Last updated: Apr 16, 2025
Knowledge cutoff: 2024-05
Input modalities
Output modalities
Capabilities

Cost

Input token cost: $1.10
Output token cost: $4.40

Limits

Output tokens: 100,000 tokens
Context window: 200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about o4-mini

DevPass (LLM Gateway)

CoverageBenchmark

Independent benchmark aggregator llm-stats.com (page date September 22, 2026) ranks OpenAI's o4-mini at #146 on its composite LLM Stats Score, with category standings including Chat (58 of 133), Healthcare (70 of 245), Vision (91 of 210), Math (97 of 327), Reasoning (138 of 366), Writing (62 of 114), Search (65 of 90), The page enumerates specific benchmark scores for o4-mini sourced to openai.com, including AIME 2024 (rank 2, score 0.93/1, accuracy without tools), AIME 2025 (rank 36, score 0.93/1, accuracy without tools), MathVista (rank 5, score 0.84/1), and MMMU. These figures provide a quantitative snapshot of o4-mini's mathemati

OpenRouter

Coverage

Wikiwand's encyclopedia entry for OpenAI o4-mini corroborates the model's timeline: initial release on April 16, 2025, broader rollout including free-tier ChatGPT users on April 24, 2025, retirement announced January 29, 2026, and effective ChatGPT retirement on February 13, 2026. It identifies the predecessor as o3-mi The entry confirms o4-mini was a vision-language model capable of processing text and images, including analyzing whiteboard sketches during its chain-of-thought phase. Both o4-mini and o4-mini-high were released as vision-language models, distinguishing o4-mini from earlier text-only o-series entries. The page is a th

Model Oracle AI

Coverage

A Hacker News comment dated April 16, 2025 from an OpenAI employee (tedsanders) clarifies that in ChatGPT, o4-mini is replacing o3-mini as a straight 1-to-1 upgrade, while in the API o4-mini is introduced as a new model option with o3-mini continuing to be supported so developers who built products atop o3-mini can mai The same thread explains the rationale behind keeping both models available: launching a new model would otherwise risk breaking production apps, and developers are given the option to test both and switch when they like. The commenter also notes that naming and offering improvements were being considered later in 2025