o1-mini vs Gemini 1.5 Pro
Compare o1-mini vs Gemini 1.5 Pro API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Full Metric & Specification Comparison
| Metric | o1-mini | Gemini 1.5 Pro | Advantage |
|---|---|---|---|
| Provider | OpenAI | - | |
| Input Token Cost (1M) | $1.100 | $1.250 | o1-mini |
| Output Token Cost (1M) | $4.400 | $5.000 | o1-mini |
| Context Window | 128k tokens | 2,000k tokens | Gemini 1.5 Pro |
| Intelligence Benchmark Score | 88/100 | 90/100 | Gemini 1.5 Pro |
| Streaming Latency | Moderate | Fast | - |
Key Architectural Takeaways
- Input Token Cost: o1-mini is $1.10/1M vs Gemini 1.5 Pro at $1.25/1M
- Output Token Cost: o1-mini is $4.40/1M vs Gemini 1.5 Pro at $5.00/1M
- Context Window: o1-mini supports 128k tokens vs Gemini 1.5 Pro with 2,000k tokens
- Benchmark Intelligence Rating: o1-mini scores 88/100 vs Gemini 1.5 Pro at 90/100
- Inference Latency: o1-mini is rated Moderate vs Gemini 1.5 Pro rated Fast
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 o1-mini cheaper than Gemini 1.5 Pro?
o1-mini 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 o1-mini. If you require peak reasoning accuracy and complex tool use, Gemini 1.5 Pro is recommended.
How does context window compare between o1-mini 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.