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# Reading the Coding Agent Market and Its Benchmarks (2026-06)

Artificial Analysis's Coding Agent Index combines DeepSWE, Terminal-Bench, and SWE-Atlas-QnA — a high Index score doesn't mean it fits your workflow; it needs to be read by task type.

[coding-agents][benchmarks][tools]

The coding agent market is expanding fast, and benchmarks have become an important reference for tool selection — but an Index score is a blended metric and can’t substitute for evaluating your specific workflow. This piece is organized from Artificial Analysis’s public data as of 2026-06.

Data snapshot date: 2026-06-15. Benchmarks and pricing change with new releases; for actual selection decisions, check back with Artificial Analysis.

Market Structure

  • Currently tracks 30 coding agent tools
  • Type breakdown: Standalone IDE (7), Local/CLI (19), Cloud (10), IDE Extension (14)
  • Open source: Yes 12 / Partial 2 / No 16
  • BYOM (bring your own model): Yes 12 / No 12 / Partial 6

Four categories of agents: IDE extensions (Copilot, Cline), AI-native IDEs (Cursor, Windsurf), CLIs (Claude Code, Codex, Gemini CLI), and cloud platforms (Devin, OpenHands, Jules). Many tools span multiple categories.

The Artificial Analysis Coding Agent Index

The composite score combines three benchmarks, covering implementation, terminal workflow, and repository understanding:

BenchmarkWhat it measuresScale
DeepSWELong-horizon implementation/bug fixing; behavior-verified113 tasks / 91 repos
Terminal-Bench v2Autonomous operation in a shell environment~84–89 tasks
SWE-Atlas-QnACodebase understanding and Q&A124 tasks / 11 repos

Being strong at Q&A ≠ being strong at executing patches. The Index should be read alongside the individual benchmark charts.

Leaderboard Snapshot (Index Top 10)

RankAgent variantIndexCost/taskDuration
1Claude Code - Fable 5 (max)77%$11.7523.5m
2Codex - GPT-5.5 (xhigh)76%$5.0710.1m
3Claude Code - Opus 4.8 (max)73%$7.7023.1m
4Codex - GPT-5.4 (medium)71%$2.277.1m
5Claude Code - Opus 4.6 (medium)71%$1.268.0m

Top Cost Efficiency (Index / dollar)

AgentIndexCost/task
Cursor CLI - Composer 267%$0.04
Claude Code - Opus 4.6 (medium)71%$1.26
Codex - GPT-5.4 (medium)71%$2.27

A high Index doesn’t always mean the cheapest option. Selection should also weigh latency, tokens/task, IDE integration, and model availability.

Why a High Index Might Not Fit You

Artificial Analysis’s own FAQ emphasizes:

  • The Index balances benchmark quality; it is not a direct measure of latency/cost/tooling
  • The real choice depends on whether your workflow looks more like Q&A, patching, or terminal execution
  • The same agent family can produce many variants depending on model/settings, with widely varying scores
  • Execution time is the wall-clock time for the whole workflow, including tool calls, file I/O, and shell operations
  • Token usage drives cost; caching can materially change the bill

Connects to LLM Cost and Deployment Fundamentals: the language of FinOps is cost per task, not model name.

Selection Guidance

Your primary workflow shapePrioritize
Daily IDE pair programmingIDE extensions/native IDEs + team adoption metrics
Terminal-based repo edits + HarnessClaude Code / Codex / Gemini CLI + AGENTS.md
Repo understanding/architecture Q&ASWE-Atlas-QnA sub-score
DevOps/shell automationTerminal-Bench sub-score
Long-horizon autonomous issue fixingDeepSWE + OpenHands-style platforms

See Claude Code vs. Codex Best Practices for the official operating practices.

BYOM and Open Source

  • Full BYOM: Cline, Continue, Aider, Cursor, Zed, etc.
  • Vendor model only: Claude Code, Codex, Devin, Amazon Q
  • Open-source CLIs: Gemini CLI, opencode, Aider, OpenHands, etc. — usually only pay for LLM API costs

References