GPT-4o Mini vs Gemini 1.5 Flash API Cost & Architecture Guide
Selecting between GPT-4o Mini (OpenAI) and Gemini 1.5 Flash (Google) for production RAG Pipeline workloads requires balancing token pricing, prompt caching discounts, context window capacity (128K vs 1M), and streaming throughput (165 vs 190 tok/s).
GPT-4o Mini is priced at $0.15 per 1M input tokens ($0.075/1M with prompt caching) and $0.60 per 1M output tokens. By comparison, Gemini 1.5 Flash charges $0.07 per 1M input tokens ($0.018/1M cached) and $0.30 per 1M output tokens.
At 5,000 requests/day (675.0M monthly input tokens and 90.0M monthly output tokens with a 60% cache hit rate), GPT-4o Mini costs $124.88/month whereas Gemini 1.5 Flash costs $54.54/monthโa monthly variance of $70.34 ($844/year).
Frequently Asked Questions
Is GPT-4o Mini or Gemini 1.5 Flash cheaper for RAG Pipeline?
Under standard RAG Pipeline parameters (5,000 reqs/day, 4500 input tokens, 600 output tokens, 60% cache hit), Gemini 1.5 Flash is more cost-effective, saving $70.34 per month ($844.02 annually).
How does prompt caching affect GPT-4o Mini vs Gemini 1.5 Flash pricing?
GPT-4o Mini reduces cached input costs to $0.075/1M tokens, while Gemini 1.5 Flash charges $0.018/1M cached input tokens. High system-prompt reuse in RAG Pipeline pipelines can cut total input token spend by 50%โ90%.
What are the context window and speed differences between GPT-4o Mini and Gemini 1.5 Flash?
GPT-4o Mini supports a 128K token context window at ~165 tokens/sec, while Gemini 1.5 Flash provides a 1M token context window at ~190 tokens/sec.