o4-mini

o4-mini is a compact reasoning model in OpenAI's o-series family, designed to think through problems before responding while keeping resource usage lean. It brings agentic capabilities to complex tasks: the model can search the web, analyze uploaded files with Python, reason about visual inputs, and generate outputs in structured formats. Rather than just outputting text, it is trained to decide when and how to deploy tools to produce detailed answers, making it suitable for multi-step problem solving where timing and output quality both matter.

The model was developed as part of the o-series lineage and underwent reinforcement learning training that refined its reasoning efficiency and tool-chaining behavior. Independent evaluation by METR found that o4-mini reached 50% task completion time horizons approximately 1.5 times those of comparable models, with internal benchmarks showing strong performance on STEM problems, visual mathematics, and code editing tasks. It outperforms its predecessor o3-mini and approaches larger models on certain benchmarks. The practical result is a model that handles high-throughput scenarios well, delivering reliable answers in under a minute while maintaining strong accuracy across coding, reasoning, and multimodal problem-solving workloads.

Azureo4-minio-minideprecated

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Quick Info

Provider: Azure
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

Azure

Coverage

On February 13, 2026, alongside the previously announced retirement⁠ of GPT‑5 (Instant, Thinking, and Pro), we will retire GPT‑4o, GPT‑4.1, GPT‑4.1 mini, and OpenAI o4-mini from ChatGPT. In the API, there are no changes at this time.

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