This 3D coding test by @thehypedotnews found DeepSeek-V4-Pro-0813 used 48X more tokens than Muse Spark 1.2.
thats why for agentic coding, the model's ability to reach an answer matters almost as much as the answer itself. A model that keeps reopening files, reconsidering decisions, and resending context can turn a small build into a huge inference loop.
The test used Nous Research's Hermes Agent CLI through OpenRouter, identical prompts, and the same Three.js constraints across three voxel-city scenes.
Prompt caching can suppress billing without fixing the latency and retry burden created by a call-heavy agent loop.
• total cost #1 muse spark 1.2 - $0.53 #2 gemini 3.7 flash - $0.56 #3 deepseek v4 pro - $4.57
gemini 3.7 flash vs deepseek v4 pro 0813 vs muse spark 1.2 - on voxel city dioramas three models each built three crossy road-style 3d scenes - a construction s...