o4-mini

OpenAI's o4-mini is a compact reasoning model in the o-mini family, positioned as a streamlined successor to o3-mini with native multimodal input that handles both text and images together. Described in deployment documentation as cost-efficient and optimized for speed, it is aimed at developers and teams who need quick, reliable reasoning on coding, mathematics, and visual-analysis workloads. Its release on April 16, 2025 marked an expansion of OpenAI's reasoning lineup toward lighter, higher-throughput deployments rather than top-of-line flagship models.

In practical terms, o4-mini fits workflows where fast iterative reasoning matters more than maximum depth, such as code generation and debugging, step-by-step math problem solving, and interpreting diagrams or screenshots alongside text. Native image input allows prompts that mix written questions with visual context, and its tool-augmented design has shown strong results on competition-style benchmarks when paired with a Python interpreter. For organizations building assistants, analytics pipelines, or developer tooling that need responsive reasoning without invoking the largest models, o4-mini offers a balanced middle ground between capability and efficiency.

Eden AIopenai/o4-minio-mini

Open provider page Provider docs

Quick Info

Provider: Eden AI
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

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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