o4-mini

o4-mini represents OpenAI's push to make reasoning models accessible without sacrificing capability. As part of the o-series family, it is built to think through problems before responding, but it differs from its predecessors by arriving as multimodal by default—able to process text and images natively rather than requiring special configuration. The model is engineered for speed and cost efficiency, allowing it to tackle complex, multi-step tasks with minimal latency, often delivering results in under a minute. Its tool-use and structured-output abilities position it as a practical workhorse for developers and teams that need reliable, automated task execution at scale.

The lineage traces back through the o-series, with o4-mini specifically designed to bridge the gap between the more expensive o3 and the lighter o3-mini. It outperforms its predecessor in benchmarks like AIME and SWE-bench, approaching o3-level performance in certain domains despite its smaller footprint. Reinforcement learning training refines its ability to chain tools and reason visually, as demonstrated on visual-math benchmarks like MathVista and MMMU. This makes o4-mini particularly well-suited for high-throughput applications where engineering teams need fast, accurate reasoning on scientific, coding, or visual problems without the latency or cost overhead of larger models.

Vercel AI Gatewayopenai/o4-minio-minideprecated

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Quick Info

Provider: Vercel AI Gateway
Model key: openai/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

OpenCode

Model variants

Fast

Input

$2.00

per 1M tokens

Output

$8.00

per 1M tokens

Cache Read

$0.50

per 1M tokens

Flex

Input

$0.55

per 1M tokens

Output

$2.20

per 1M tokens

Cache Read

$0.138

per 1M tokens

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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