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On October 23, 2026, Artificial Analysis released Coding Agent Index v2.0, replacing DeepSWE with Cognition's FrontierCode v1.1 and tightening the repository question-answering scoring; the leaderboard evaluates model-plus-harness combinations. Reports that day showed Claude Code paired with Claude Opus 5.5 (max) topping the list with 61.7 points, Claude Code paired with Sonnet 5.5 second with 59.3 points, Muse Code paired with Muse Wonder Full at 58.9 points, and the first OpenAI combination, Codex paired with GPT-6 Astra, at 54.7 points. Regarding comparisons between the old and new leaderboards, earlier reports said the average score of 21 configurations fell from 58.8% to 57.1%; later reports said the mean for the same batch of 21 configurations dropped from 54.8 to 47.4, with 20 declining, and stated that the main reason was FrontierCode's mean of about 45.1%, far below DeepSWE's 65.6%.
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Coding Agent Leaderboard Upgrade v2.0: Claude Opus 5.5 Leads at 61.7Developments
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- Source:Shao Meng
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Oct 23
Shao Meng
Coding Agent Leaderboard Upgrade v2.0: Claude Opus 5.5 Leads at 61.7
Artificial Analysis released Coding Agent Index v2.0, replacing DeepSWE with Cognition's FrontierCode v1.1 and tightening repository Q&A scoring; the leaderboard evaluates model-plus-harness combinations. Currently first is Claude Code + Claude Opus 5.5 (max) at 61.7, followed by Claude Code + Sonnet 5.5 at 59.3 and Muse Code + Muse Wonder Full at 58.9; the first OpenAI combination, Codex + GPT-6 Astra, is at 54.7. For the same 21 configurations, the mean across the old and new leaderboards fell from 54.8 to 47.4, with 20 declining, mainly because FrontierCode's mean is about 45.1%, far below DeepSWE's 65.6%.
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Artificial Analysis
Artificial Analysis Coding Agent Index v2.0: Claude Opus 5.5 tops with 61.7
Artificial Analysis released Coding Agent Index v2.0, with Claude Code paired with Claude Opus 5.5 (max) topping at 61.7 points, followed by Claude Sonnet 5.5 (max) at 59.3 points. The new version replaces DeepSWE with Cognition's FrontierCode v1.1; Opus 5.5 scores 56.0% on that benchmark, ahead of Codex paired with DeepSeek V4.1 Flash at 52.6%. SWE-Atlas-QnA-AA switched to GPT-6 Luna (xhigh) for judging, with five votes per item; the average score across 21 configurations fell from 58.8% to 57.1%.
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