Artificial Analysis Expands Coding Agent Index to 322 Tasks
Version 2.1 adds 32 tasks and swaps in a new FrontierCode component, which limits direct comparison with earlier scores.
Updated on Nov. 14, 2026 in Artificial Intelligence
Artificial Analysis has released version 2.1 of its Coding Agent Index, which now includes 322 tasks, a 32-task increase over the previous edition. The revised mix limits direct comparisons with scores from earlier versions.
Why it matters
Benchmark scores guide how developers and buyers assess AI coding agents, so a changed task mix alters what those scores measure. Readers comparing results across editions will need to account for the revised composition.
Each task is run three times and averaged, and the three benchmark scores are then weighted equally in the index. Terminal-Bench 4.1 keeps its 66 tasks but revises its verification checks, and the earlier FrontierCode component is replaced by FrontierCode-AA 2.0.
The players
Artificial Analysis
Artificial Analysis is an independent organization that benchmarks and compares artificial intelligence models and their performance.
The details
Version 2.1 replaces the earlier FrontierCode component with FrontierCode-AA 2.0 and keeps the Terminal-Bench and SWE-Atlas-QnA-AA components, with Terminal-Bench 4.1 receiving revised verification checks. The index scores each benchmark separately and combines them with equal weight.
Timeline
November 14, 2026: Artificial Analysis publishes the expanded Coding Agent Index version 2.1.
Season Trajectory
The expansion from 290 to 322 tasks marks a clear break from the index's earlier composition, with the FrontierCode component swapped for a new version. Scores from earlier editions will therefore sit on a different measurement basis than the revised index.
Developers choosing a coding agent based on published index scores should check which edition a score comes from before comparing it to others. Scores from version 2.1 cannot be directly lined up with results from the earlier 290-task index.
The takeaway
Benchmark scores are only comparable within the same version, so readers should confirm the edition before drawing conclusions about which coding agent performs better.
Further reading
For broader context on how these systems are evaluated, see the Artificial Intelligence section.
Source note: This article includes information reported by TokenPost.
