Correction to Coding Agent Model Ranking Chart
rasbt · x · 2026-07-11
The author corrected their chart: the Ultra / Max labels were mismatched, and the correct mapping is Ultra = Max, with the same logic applying to other tiers.
They noted that the data comes from the Artificial Analysis Coding Agent Index. Based on the chart's conclusions:
- If you don't need the extreme performance of Terra Ultra, it's generally more cost-effective to use Luna models with higher effort settings, achieving the same or better results at a lower price.
- Tiers below Sol High can basically be ignored; just use Luna + higher effort.
- You can also skip straight from Sol Extra High to Terra Ultra.
- The extra cost of Sol Ultra is likely not worth the marginal improvement over Max.
Related event: Model Selection and Cost-Effectiveness Tips for Agentic Coding(4 posts)→
More from coding & agent
- Gemini 3.5 Flash-Lite is 71x Cheaper Than Claude for Doc Extraction — rseroter · 2026-07-23
- LangChain and Cognition will host a meetup on open memory for agents — LangChain · 2026-07-23
- Factory Co-founder Predicts 90% of Coding Agent Tokens Will Be Fully Autonomous in 12-24 Months — matanSF · 2026-07-23
- Voice assistant tool calls sped up instantly after moving the backend to Europe — ur_piyo_a_hoe · 2026-07-23
- W&B’s Scott Condron wants to push research agents, trace insights, and marimo eval UIs — _ScottCondron · 2026-07-23
- Clean Plate LoRA examples show a practical video-cleanup workflow — nazihater3000 · 2026-07-23