GPT-4o vs Claude 3.5 Sonnet API Cost & Architecture Guide
Selecting between GPT-4o (OpenAI) and Claude 3.5 Sonnet (Anthropic) for production RAG Pipeline workloads requires balancing token pricing, prompt caching discounts, context window capacity (128K vs 200K), and streaming throughput (110 vs 85 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, Claude 3.5 Sonnet charges $3.00 per 1M input tokens ($0.300/1M cached) and $15.00 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 costs $2081.25/month whereas Claude 3.5 Sonnet costs $2281.50/monthโa monthly variance of $200.25 ($2403/year).
Frequently Asked Questions
Is GPT-4o or Claude 3.5 Sonnet cheaper for RAG Pipeline?
Under standard RAG Pipeline parameters (5,000 reqs/day, 4500 input tokens, 600 output tokens, 60% cache hit), GPT-4o is more cost-effective, saving $200.25 per month ($2403.00 annually).
How does prompt caching affect GPT-4o vs Claude 3.5 Sonnet pricing?
GPT-4o reduces cached input costs to $1.25/1M tokens, while Claude 3.5 Sonnet charges $0.3/1M 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 and Claude 3.5 Sonnet?
GPT-4o supports a 128K token context window at ~110 tokens/sec, while Claude 3.5 Sonnet provides a 200K token context window at ~85 tokens/sec.