Model Profile: o4-mini (OpenAI Reasoning Series)

Learn about OpenAI's o4-mini, a faster, more affordable reasoning model from the "o-series," designed for efficient complex problem-solving on allmates.ai.

Last updated 8 months ago

Tagline: Faster, more affordable reasoning model.

📊 At a Glance

  • Primary Strength: Reasoning, Mathematical Tasks, Cost-Effective Problem Solving.

  • Performance Profile:

    • Intelligence: 🟢 Higher (for reasoning)

    • Speed: 🟢 Faster (than full o3/o1)

    • Cost: 🟡 Medium

  • Key Differentiator: Specialized for reasoning tasks in a smaller, more efficient package.

  • allmates.ai Recommendation: Suitable for Mates needing strong reasoning or mathematical capabilities where speed and cost are also important factors, and advanced content creation is not the primary goal.

📖 Overview

The o4-mini is part of OpenAI's "o-series" of models, which are specifically tuned for advanced reasoning and tool-use capabilities. As a "mini" version, o4-mini aims to provide strong reasoning performance similar to larger o-series models but in a faster and more cost-effective package. It's designed for tasks that require breaking down complex problems, logical deduction, and mathematical processing, rather than excelling in nuanced content generation.

🛠️ Key Specifications

Feature Detail

Provider

OpenAI

Model Series/Family

o-series (Reasoning)

Context Window

200,000 tokens

Max Output Tokens

100,000 tokens

Knowledge Cutoff

June 2024

Architecture

Transformer-based, optimized for reasoning and tool use.

🔀 Modalities

  • Input Supported:

    • Text

    • Images

  • Output Generated:

    • Text

    • Structured outputs (e.g., JSON for tool use)

⭐ Core Capabilities Assessment

  • Reasoning & Problem Solving: ⭐⭐⭐⭐✰ (Very Strong)

    • Excels at logical deduction and breaking down complex problems.

  • Writing & Content Creation: ⭐⭐✰✰✰ (Fair)

    • Can produce clear text but is not optimized for creative or nuanced writing.

  • Coding & Development: ⭐⭐⭐✰✰ (Good)

    • Capable of understanding and generating code, particularly for logic-heavy tasks.

  • Mathematical & Scientific Tasks: ⭐⭐⭐⭐✰ (Very Strong)

    • Strong performance in solving mathematical problems and scientific reasoning.

  • Instruction Following: ⭐⭐⭐✰✰ (Good)

    • Reliably follows instructions, especially for reasoning and tool-use directives.

  • Factual Accuracy & Knowledge: ⭐⭐⭐✰✰ (Good)

    • Good general knowledge, but primary strength is reasoning over recall.

🚀 Performance & 💰 Cost

  • Speed / Latency: Faster

    • Designed to be quicker than larger o-series models like o3.

  • Pricing Tier (on allmates.ai): Medium

    • More affordable than full-scale reasoning models.

✨ Key Features & Strengths

  • Strong Reasoning: Specialized for complex problem-solving and logical tasks.

  • Mathematical Prowess: High capability in mathematical and scientific domains.

  • Speed and Efficiency: Faster and more cost-effective than larger reasoning models.

  • Tool Use Integration: Likely well-suited for agentic tasks involving tool invocation.

🎯 Ideal Use Cases on allmates.ai

  • Analytical Mates: Mates tasked with data analysis, logical puzzle solving, or strategic planning.

  • Mathematical Problem Solvers: Mates assisting with calculations, formula application, or scientific modeling.

  • Agentic Workflows: Powering Mates that need to make decisions and use tools as part of a reasoning process.

  • Cost-Sensitive Reasoning Tasks: When strong reasoning is needed but budget constraints favor a more efficient model.

⚠️ Limitations & Considerations

  • Content Generation: Not the primary choice for high-quality creative writing or nuanced marketing copy.

  • Broad Knowledge Recall: While knowledgeable, its focus is on applying reasoning rather than being a general knowledge encyclopedia.

  • Specific Modality Support: Confirm image/audio input capabilities if required, as o-series focus is typically text/tool-based reasoning.

🏷️ Available Versions & Snapshots (on allmates.ai)

  • o4-mini (Alias pointing to the recommended version)