Artificial Analysis Coding Agent Index v2
In use
Coding agents, each a model plus harness, attempt software engineering, terminal, and repository question tasks. The index averages three equal-weight benchmark scores.
Version 2.0 from October 2026: FrontierCode v1.1 (100 tasks from Cognition) replaced DeepSWE 1.1, alongside Terminal-Bench 4.0 and SWE-Atlas-QnA-AA, equally weighted. Earlier versions have their own records. Scores do not compare across versions. Link only: the almanac imports no Artificial Analysis data.
Made by Artificial Analysis Released Oct 2026 Fixing real repositories Public tasks plus a private test set Last in a launch post Oct 2026
Last model added Oct 2026
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
Launch post lists it, from 1 lab
No scores here yet
Artificial Analysis doesn’t allow reuse of its data, so we link to its board instead.
One lab put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 29 Oct 2026 | 48 | Artificial Analysis Coding Agent Index |
Versions
More in Coding
- SWE-bench Verified In use 500 human-validated GitHub issues from 12 Python repos. Agent writes a patch that must pass hidden tests. Claude Opus 4.7 83.5%
- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Opus 5.5 93.9%
- LiveCodeBench v6 In use Competitive programming problems collected after model cutoffs from LeetCode, AtCoder, Codeforces. Scored pass@1 on hidden tests.
DeepSeek-V4-Pro 93.5%
- DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
- SciCode In use Scientist-curated research coding problems split into subproblems across natural sciences. Code checked against test cases.
Seed2.1 Pro 59.8%
- Codeforces rating In use Model solves recent Codeforces contest problems. An Elo-style rating is computed from simulated contest performance.
DeepSeek V4.1 Flash 3,471