Activereasoningllm Proprietary

o4 Mini

by OpenAI· Released April 2025· Cutoff October 2024

o4 Mini is a cost-efficient reasoning model from OpenAI, designed for complex multi-step tasks that require strong reasoning and coding abilities. It offers a balance of performance and speed, making it suitable for applications where deep reasoning is needed but cost is a concern. As a smaller model in the o4 family, it provides faster responses than its larger counterpart while maintaining high accuracy on benchmarks.

Official Site API Docs

Input cost

$1.10 per 1M tokens

Output cost

$4.40 per 1M tokens

Context window

200K tokens

Max output

100K tokens

Modalities

textimageaudio

License

proprietary

Capabilities

ReasoningCode GenerationFunction CallingStructured OutputsStreamingVisionAudio InputImage Generation

Best For

Cost-sensitive applications requiring strong reasoning and coding capabilities with multimodal support.

Strengths

Strong reasoning and coding performance at a lower cost
Supports multimodal inputs (text, image, audio) and image generation
Large context window (200K tokens) and high output limit (100K tokens)
Faster inference compared to larger reasoning models

Limitations

May not match the depth of reasoning of larger models like o4 or o3
Not suitable for tasks requiring extremely high accuracy on complex scientific problems
Limited availability compared to GPT-4o series
Pricing still higher than non-reasoning models like GPT-4o Mini

Use Cases

Complex code generation and debugging

Multi-step reasoning tasks (e.g., math, logic puzzles)

Data analysis and report generation

Chatbots requiring deep understanding and context

Image captioning and visual question answering

Audio transcription and summarization

Generating images from text descriptions

Improvements Over Previous Model

Lower pricing: $1.10/$4.40 per 1M tokens vs o3-mini's $1.10/$4.40 (same pricing but better performance)
Improved reasoning benchmarks: 98% on AIME 2025 vs o3-mini's 87%
Added vision and audio input support (o3-mini was text-only)
Added image generation capability (o3-mini did not support image generation)
Increased context window from 200K tokens (same as o3-mini) but with higher output limit (100K vs 100K same)
Faster inference speed compared to o3-mini

Back to all models

Improvements Over Previous Model

Lower pricing: $1.10/$4.40 per 1M tokens vs o3-mini's $1.10/$4.40 (same pricing but better performance)

Improved reasoning benchmarks: 98% on AIME 2025 vs o3-mini's 87%

Added vision and audio input support (o3-mini was text-only)

Added image generation capability (o3-mini did not support image generation)

Increased context window from 200K tokens (same as o3-mini) but with higher output limit (100K vs 100K same)

Faster inference speed compared to o3-mini