o3-mini (Reasoning) vs Gemini 1.5 Pro
Compare o3-mini (Reasoning) vs Gemini 1.5 Pro API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
o3-mini (Reasoning) charges $1.10/1M input and $4.40/1M output tokens, compared to Gemini 1.5 Pro at $1.25/1M input and $5.00/1M output. o3-mini (Reasoning) is 1.1x cheaper on input tokens. In benchmark reasoning, o3-mini (Reasoning) holds the higher intelligence rating (93/100). For latency-critical streaming, o3-mini (Reasoning) delivers 95 t/s (580ms TTFT) while Gemini 1.5 Pro provides 82 t/s (510ms TTFT).
Full Metric & Specification Comparison
| Metric | o3-mini (Reasoning) | Gemini 1.5 Pro | Advantage |
|---|---|---|---|
| Provider | OpenAI | - | |
| Input Token Cost (1M) | $1.100 | $1.250 | o3-mini (Reasoning) |
| Output Token Cost (1M) | $4.400 | $5.000 | o3-mini (Reasoning) |
| Context Window | 200k tokens | 2,000k tokens | Gemini 1.5 Pro |
| Intelligence Benchmark Score | 93/100 | 90/100 | o3-mini (Reasoning) |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: o3-mini (Reasoning) is $1.10/1M vs Gemini 1.5 Pro at $1.25/1M
- Output Token Cost: o3-mini (Reasoning) is $4.40/1M vs Gemini 1.5 Pro at $5.00/1M
- Context Window: o3-mini (Reasoning) supports 200k tokens vs Gemini 1.5 Pro with 2,000k tokens
- Benchmark Intelligence Rating: o3-mini (Reasoning) scores 93/100 vs Gemini 1.5 Pro at 90/100
- Inference Latency: o3-mini (Reasoning) is rated Fast vs Gemini 1.5 Pro rated Fast
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying o3-mini (Reasoning) over Gemini 1.5 Pro saves $6.75/mo ($81/yr) at this volume.
Frequently Asked Questions
Is o3-mini (Reasoning) cheaper than Gemini 1.5 Pro?
o3-mini (Reasoning) is significantly more economical, charging $1.10/1M input compared to $1.25/1M for Gemini 1.5 Pro.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose o3-mini (Reasoning). If you require peak reasoning accuracy and complex tool use, o3-mini (Reasoning) is recommended.
How does context window compare between o3-mini (Reasoning) and Gemini 1.5 Pro?
Gemini 1.5 Pro offers the larger context window (2,000k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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