GPT-4o (Omni) vs o1-mini
Compare GPT-4o (Omni) vs o1-mini API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Full Metric & Specification Comparison
| Metric | GPT-4o (Omni) | o1-mini | Advantage |
|---|---|---|---|
| Provider | OpenAI | OpenAI | - |
| Input Token Cost (1M) | $2.500 | $1.100 | o1-mini |
| Output Token Cost (1M) | $10.000 | $4.400 | o1-mini |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 92/100 | 88/100 | GPT-4o (Omni) |
| Streaming Latency | Fast | Moderate | - |
Key Architectural Takeaways
- Input Token Cost: GPT-4o (Omni) is $2.50/1M vs o1-mini at $1.10/1M
- Output Token Cost: GPT-4o (Omni) is $10.00/1M vs o1-mini at $4.40/1M
- Context Window: GPT-4o (Omni) supports 128k tokens vs o1-mini with 128k tokens
- Benchmark Intelligence Rating: GPT-4o (Omni) scores 92/100 vs o1-mini at 88/100
- Inference Latency: GPT-4o (Omni) is rated Fast vs o1-mini rated Moderate
Simulate Your Team's Actual Spend
Quick Workload Presets
Pick a ready-made scenario or customize your token volume below.
Token & Usage Parameters
By switching or routing background tasks from GPT-4o to Gemini 1.5 Flash, your team saves up to $2,270 annually.
Lowest cost per token, high-frequency tasks, real-time audio/video
State-of-the-art open economics, high-performance general intelligence
High-volume text processing, fast chatbots, classification
Open-weights privacy, self-hosting or ultra-cheap hosted inferencing
Rapid code completion, customer service, structured data extraction
Fast STEM reasoning, competitive programming at lower cost
Massive context (2M tokens), full video/audio analysis, large codebases
Multilingual tasks, European compliance, enterprise code generation
Complex multimodal reasoning, coding, and production apps
Software engineering, nuanced writing, complex agentic workflows
Advanced mathematics, algorithmic coding, PhD-level scientific logic
Frequently Asked Questions
Is GPT-4o (Omni) cheaper than o1-mini?
o1-mini is significantly more economical, charging $1.10/1M input compared to $2.50/1M for GPT-4o (Omni).
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose o1-mini. If you require peak reasoning accuracy and complex tool use, GPT-4o (Omni) is recommended.
How does context window compare between GPT-4o (Omni) and o1-mini?
GPT-4o (Omni) offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.