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
- Agent Field Kit launches $29 security runbooks for production AI agents — alvelda · 2026-10-27
- Dev mixes Claude specs with abliterated GLM to build SS7 threat detector — l4rz · 2026-10-27
- Cloudflare Durable Objects validated as top architecture for AI agent WebSocket servers — tristanbob · 2026-10-27
- GitHub Next's Chopin prototype explores real-time multiplayer agentic planning — max__drake · 2026-10-27
- TMLR paper: enforced thinking doesn't reliably make LLM agents disclose key info to users — SharonYixuanLi · 2026-10-27
- LLM-written Rust library bbtree verified: speed claims hold, memory savings reverse — lmoroney · 2026-10-27