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)