The right coding agent is also a plan decision. These are LMRank's top, value, and budget picks for repository work, with the bill attached.
Best default for deep multi-step work. The product is sold through Claude plans, so compare included usage before buying.
You want the strongest repository-scale terminal agent, with subagents, hooks, and careful permission controls.
You need to switch providers freely or run large unattended jobs on a strict flat budget.
The strongest value when you already use ChatGPT. Treat local usage and cloud-task limits as part of the plan decision.
You want frontier agent quality at a standard plan price, with local CLI/IDE work and cloud tasks that can open reviewable changes.
You need unrestricted network access by default or are committed to non-OpenAI models.
Lowest-cost full agent in this guide. Its paid AI Credits make usage limits part of the price comparison.
Cost is the constraint but you still want agent mode, code review, and a cloud agent connected to your repository.
You want a simple unlimited flat-rate bill or the most autonomous refactors available.
The Artificial Analysis coding-agent chart is useful landscape context, not LMRank's ranking source. Our verdicts weigh agent behavior, plan economics, repository fit, and the quality of the tool's public documentation. We refresh prices and availability before changing a pick.
We are publishing a controlled proof v0 with one identical coding task, four agents, raw transcripts, and deterministic test results. Follow the evidence in the LMRank blog.
When you buy through links on LMRank, we may earn a commission. Picks are independent; no lab pays for placement.