I analyzed 922 agentic task trace and found the secret weapon of DeepSeek v4

A Reddit practitioner analyzed 922 agentic task traces comparing DeepSeek V4 Flash against Claude Opus 4.7, revealing a 33x input token cost differential at roughly $0.003 vs $0.10 per 1K tokens on OpenRouter. In long-horizon agentic workflows, input tokens dominate total cost, making this gap compounding across multi-step reasoning chains. Engineers running high-volume autonomous agents should immediately audit their provider spend, as DeepSeek V4 Flash delivers competitive open-source performance at a fraction of frontier model pricing with no apparent quality cliff on agentic benchmarks.