GPT-4o vs Gemini 1.5 Pro API Cost & Architecture Guide
Selecting between GPT-4o (OpenAI) and Gemini 1.5 Pro (Google) for production Customer Support Agent workloads requires balancing token pricing, prompt caching discounts, context window capacity (128K vs 2M), and streaming throughput (110 vs 75 tok/s).
GPT-4o is priced at $2.50 per 1M input tokens ($1.250/1M with prompt caching) and $10.00 per 1M output tokens. By comparison, Gemini 1.5 Pro charges $1.25 per 1M input tokens ($0.310/1M cached) and $5.00 per 1M output tokens.
At 10,000 requests/day (540.0M monthly input tokens and 120.0M monthly output tokens with a 50% cache hit rate), GPT-4o costs $2212.50/month whereas Gemini 1.5 Pro costs $1021.20/monthโa monthly variance of $1191.30 ($14296/year).
Frequently Asked Questions
Is GPT-4o or Gemini 1.5 Pro cheaper for Customer Support Agent?
Under standard Customer Support Agent parameters (10,000 reqs/day, 1800 input tokens, 400 output tokens, 50% cache hit), Gemini 1.5 Pro is more cost-effective, saving $1191.30 per month ($14295.60 annually).
How does prompt caching affect GPT-4o vs Gemini 1.5 Pro pricing?
GPT-4o reduces cached input costs to $1.25/1M tokens, while Gemini 1.5 Pro charges $0.31/1M cached input tokens. High system-prompt reuse in Customer Support Agent pipelines can cut total input token spend by 50%โ90%.
What are the context window and speed differences between GPT-4o and Gemini 1.5 Pro?
GPT-4o supports a 128K token context window at ~110 tokens/sec, while Gemini 1.5 Pro provides a 2M token context window at ~75 tokens/sec.