A display-only Artificial Analysis leaderboard for coding-agent systems, combining agent harnesses, host models, and execution settings across software-engineering benchmarks.
BenchLM mirrors the Artificial Analysis Coding Agent Index v1.1 page as a display-only agent leaderboard. The source compares coding-agent variants across DeepSWE, Terminal-Bench v2, SWE-Atlas-QnA and reports the average pass@1 index alongside cost, token, and execution-time metadata.
AA Coding Agents is separate from BenchLM model-only rankings. Its rows combine an agent harness, a host model, execution settings, and provider routing, so BenchLM treats the index as external system evidence rather than a weighted base-model benchmark. Component benchmark availability can vary by row in the source payload.
BenchLM mirrors the published index score view for AA Coding Agents. Codex - GPT-5.4 (medium) leads the public snapshot at 71.1% , followed by Claude Code - Opus 4.6 (medium) (71.1%) and Cursor CLI - GPT-5.4 (medium) (68.8%). BenchLM does not use these results to rank models overall.
Codex - GPT-5.4 (medium)
OpenAI
20e5df586dc56b05e20c6325eb672961
Claude Code - Opus 4.6 (medium)
Anthropic
4335ceeeb2cf7db90e080f28eafec1da
Cursor CLI - GPT-5.4 (medium)
Cursor
6d116dd69a2396cf5416510c4f003991
The published AA Coding Agents snapshot is tightly clustered at the top: Codex - GPT-5.4 (medium) sits at 71.1%, while the third row is only 2.3 points behind. The broader top-10 spread is 17.0 points, so the benchmark still separates strong models even when the leaders cluster.
12 models have been evaluated on AA Coding Agents. The benchmark falls in the Coding category. This category carries a 20% weight in BenchLM.ai's overall scoring system. AA Coding Agents is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Composite over DeepSWE, Terminal-Bench v2, and SWE-Atlas-QnA
Format
Average pass@1 index
Difficulty
Real-world coding-agent workflows
BenchLM mirrors the Artificial Analysis Coding Agent Index v1.1 page as a display-only external leaderboard. The source combines DeepSWE, Terminal-Bench v2, and SWE-Atlas-QnA component scores and publishes cost, token, and execution-time metadata. Rows are coding-agent systems rather than pure base-model results.
Version
AA Coding Agents 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A display-only Artificial Analysis leaderboard for coding-agent systems, combining agent harnesses, host models, and execution settings across software-engineering benchmarks.
Codex - GPT-5.4 (medium) currently leads the published AA Coding Agents snapshot with 71.1% index score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
12 AI models are included in BenchLM's mirrored AA Coding Agents snapshot, based on the public leaderboard captured on June 2026 page snapshot.
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