GPT-4o Mini vs o1 (Reasoning)
Compare GPT-4o Mini vs o1 (Reasoning) API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-4o Mini charges $0.15/1M input and $0.60/1M output tokens, compared to o1 (Reasoning) at $15.00/1M input and $60.00/1M output. GPT-4o Mini is 100.0x cheaper on input tokens. In benchmark reasoning, o1 (Reasoning) holds the higher intelligence rating (98/100). For latency-critical streaming, GPT-4o Mini delivers 145 t/s (240ms TTFT) while o1 (Reasoning) provides 45 t/s (1200ms TTFT).
Full Metric & Specification Comparison
| Metric | GPT-4o Mini | o1 (Reasoning) | Advantage |
|---|---|---|---|
| Provider | OpenAI | OpenAI | - |
| Input Token Cost (1M) | $0.150 | $15.000 | GPT-4o Mini |
| Output Token Cost (1M) | $0.600 | $60.000 | GPT-4o Mini |
| Context Window | 128k tokens | 200k tokens | o1 (Reasoning) |
| Intelligence Benchmark Score | 82/100 | 98/100 | o1 (Reasoning) |
| Streaming Latency | Ultra-Fast | Deliberate | - |
Key Architectural Takeaways
- Input Token Cost: GPT-4o Mini is $0.15/1M vs o1 (Reasoning) at $15.00/1M
- Output Token Cost: GPT-4o Mini is $0.60/1M vs o1 (Reasoning) at $60.00/1M
- Context Window: GPT-4o Mini supports 128k tokens vs o1 (Reasoning) with 200k tokens
- Benchmark Intelligence Rating: GPT-4o Mini scores 82/100 vs o1 (Reasoning) at 98/100
- Inference Latency: GPT-4o Mini is rated Ultra-Fast vs o1 (Reasoning) rated Deliberate
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying GPT-4o Mini over o1 (Reasoning) saves $668.25/mo ($8019/yr) at this volume.
Frequently Asked Questions
Is GPT-4o Mini cheaper than o1 (Reasoning)?
GPT-4o Mini is significantly more economical, charging $0.15/1M input compared to $15.00/1M for o1 (Reasoning).
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose GPT-4o Mini. If you require peak reasoning accuracy and complex tool use, o1 (Reasoning) is recommended.
How does context window compare between GPT-4o Mini and o1 (Reasoning)?
o1 (Reasoning) offers the larger context window (200k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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