GPT-4o (Omni) vs Gemini 1.5 Pro
Compare GPT-4o (Omni) vs Gemini 1.5 Pro API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-4o (Omni) charges $2.50/1M input and $10.00/1M output tokens, compared to Gemini 1.5 Pro at $1.25/1M input and $5.00/1M output. Gemini 1.5 Pro is 2.0x cheaper on input tokens. In benchmark reasoning, GPT-4o (Omni) holds the higher intelligence rating (92/100). For latency-critical streaming, GPT-4o (Omni) delivers 90 t/s (420ms TTFT) while Gemini 1.5 Pro provides 82 t/s (510ms TTFT).
Full Metric & Specification Comparison
| Metric | GPT-4o (Omni) | Gemini 1.5 Pro | Advantage |
|---|---|---|---|
| Provider | OpenAI | - | |
| Input Token Cost (1M) | $2.500 | $1.250 | Gemini 1.5 Pro |
| Output Token Cost (1M) | $10.000 | $5.000 | Gemini 1.5 Pro |
| Context Window | 128k tokens | 2,000k tokens | Gemini 1.5 Pro |
| Intelligence Benchmark Score | 92/100 | 90/100 | GPT-4o (Omni) |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: GPT-4o (Omni) is $2.50/1M vs Gemini 1.5 Pro at $1.25/1M
- Output Token Cost: GPT-4o (Omni) is $10.00/1M vs Gemini 1.5 Pro at $5.00/1M
- Context Window: GPT-4o (Omni) supports 128k tokens vs Gemini 1.5 Pro with 2,000k tokens
- Benchmark Intelligence Rating: GPT-4o (Omni) scores 92/100 vs Gemini 1.5 Pro at 90/100
- Inference Latency: GPT-4o (Omni) 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 Gemini 1.5 Pro over GPT-4o (Omni) saves $56.25/mo ($675/yr) at this volume.
Frequently Asked Questions
Is GPT-4o (Omni) cheaper than Gemini 1.5 Pro?
Gemini 1.5 Pro is significantly more economical, charging $1.25/1M 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 Gemini 1.5 Pro. 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 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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