AI Coding Tools Comparison: Claude Code, Codex & More
AI coding tools comparison online: compare Claude Code, Codex, Cursor, and other AI coding assistants by benchmark score and per-task cost.
Updated 2026-09-11
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Features
- 52 coding-agent entries ranked: every product × model combination from the source snapshot, not just the top few
- Six ranking dimensions: Index, DeepSWE, SWE-Atlas, Terminal-Bench, Time and Cost, each with its own order
- Index = weighted average of three benchmarks: DeepSWE (software engineering tasks), SWE-Atlas (technical Q&A) and Terminal-Bench (real terminal operations)
- Product × model breakdown: "Claude Code - Opus 5 (xhigh)" shows both the tool and the exact model it runs on
- Time column: mean seconds per benchmark task, so you can see which agent finishes faster
- Cost column: average dollars per task, the honest way to compare high-volume usage cost
- Full table with rank, product, model, index and the three benchmark scores visible at once
- Dated snapshot: every score carries the snapshot date at the top of the page
How to Use
- 1The page opens ranked by Index, the weighted average of the three benchmarks
- 2Switch to DeepSWE to rank by software-engineering task success rate (113 tasks)
- 3Switch to SWE-Atlas to rank by technical Q&A correctness (124 tasks)
- 4Switch to Terminal-Bench to rank by real-terminal task completion rate
- 5Time and Cost tabs sort ascending: the fastest or cheapest per task leads
- 6The same product appears in several rows when it runs on different models; read the second line of each row for the model
- 7Effort labels like (xhigh) and (max) mean the model spends more tokens thinking; higher scores usually, at higher cost and latency
- 8Use the top 2-3 agents as a shortlist and run them on your own repository before committing
Frequently Asked Questions
Which is better, Claude Code or Codex?
In the current snapshot Claude Code on Opus 5 (xhigh) and Codex on GPT-5.6 Sol (max) are tied at 67 on the index, with Claude Code on Fable 5 and on Opus 5 (max) at 66 right behind; the top four are within one point. Pick by workflow: try both on a sample of your repo, and check the Time and Cost columns.
What is the best AI coding assistant right now?
There is no single best. The current snapshot puts Claude Code on Opus 5 (xhigh) and Codex on GPT-5.6 Sol (max) first at 67, within one point of the next two. "Best" depends on your language, repo size and budget; an index leader can lose to a cheaper or faster agent on your specific workload. Shortlist, then benchmark the top 2-3 on your own tasks.
How is the coding agent index computed?
The index is the weighted average of three benchmarks: DeepSWE (113 software-engineering tasks on real repositories), SWE-Atlas (124 technical Q&A tasks) and Terminal-Bench (real-terminal task completion). Each contributes one third. It is the source's own metric, not our calculation.
Why is Claude Code listed several times in the table?
Each row is a product × model pairing. Claude Code appears once per model it runs on: Opus 5 (xhigh), Fable 5 (max), GLM-5.2 and DeepSeek V4 Pro (high) in the current snapshot. The model is the second line of every row, so you can compare the same tool on different engines.
What do (xhigh), (max) and (high) mean in agent names?
They are effort settings for the underlying model. Higher effort spends more tokens thinking before acting, which usually improves the index but costs more and takes longer per task. Compare agents within the same effort tier.
How do I read the Time and Cost columns?
Time is mean seconds per benchmark task; lower means the agent finishes the same workload sooner. Cost is average dollars per task across the benchmark set; lower matters for high-volume usage. Both are measured by the source for each product × model pairing.
How often is the leaderboard updated?
The snapshot refreshes when the source publishes a new benchmark round, roughly monthly. The snapshot date at the top of the page shows exactly how fresh the data is.
Can I use this ranking to pick a coding tool for my team?
As a shortlist, yes; as a verdict, no. The index averages many tasks, and your codebase, language and review workflow may favor an agent ranked lower. Take the top 2-3 agents, run them on a representative sample of real issues, and decide on measured results plus cost.
What about Cursor, Windsurf or other tools not in the table?
Only product × model combinations covered by the source benchmark appear. Cursor CLI is already in this snapshot (on Composer 2.5 Fast). A missing tool simply means no published index for it yet, not that it is bad.
Is this tool different from the LLM Leaderboard?
Yes. The LLM Leaderboard ranks raw models (Opus 5, GPT-5.6 Sol, DeepSeek V4 Flash) by intelligence, coding and agentic scores. This tool ranks coding products (Claude Code, Codex, Kimi Code CLI) as product × model rows using the coding-agents index. Use the leaderboard to pick a model, this tool to pick a tool.
Can I use the Cost column to compare subscription prices?
No. Cost is the average API cost per benchmark task for each product × model pairing, measured by the source. It is not a license or subscription price. For plan comparison (per-seat pricing, free tiers, credit systems), check each provider's official pricing page.
Do the rankings match what people report on Reddit?
Not always. The index is a standardized benchmark snapshot over 113-124 tasks, while real-world experience varies with your codebase, language, and workflow; a tool that wins benchmarks can feel slow or clumsy on your specific repo. Reddit threads are a useful source of anecdotal signal, but treat both the numbers and the anecdotes as shortlist input, then benchmark the top 2-3 agents on your own tasks.
Where does the ranking data come from?
The index, time and cost are a dated snapshot from Artificial Analysis' coding-agents benchmark, an independent third-party evaluator. We scrape their published leaderboard and clean the values; the snapshot date is at the top of the page. Products appear once the benchmark covers them.
Which AI coding assistants are free?
Open-weights models like DeepSeek and Qwen can be self-hosted at zero API cost, and most commercial tools (Claude Code, Codex, Kimi Code CLI) offer limited free usage or trial credits. Free tiers usually cap usage, so check the provider for current limits. The Cost column shows average API cost per task for the benchmarked configuration.