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 Code Generation & Review 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 2,500 requests/day (375.0M monthly input tokens and 112.5M monthly output tokens with a 55% cache hit rate), GPT-4o Mini costs $108.28/month whereas Gemini 1.5 Flash costs $50.12/monthโa monthly variance of $58.16 ($698/year).
Frequently Asked Questions
Is GPT-4o Mini or Gemini 1.5 Flash cheaper for Code Generation & Review?
Under standard Code Generation & Review parameters (2,500 reqs/day, 5000 input tokens, 1500 output tokens, 55% cache hit), Gemini 1.5 Flash is more cost-effective, saving $58.16 per month ($697.95 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 Code Generation & Review 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.