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Artificial Analysis launches Coding Agent Index v2.0, swapping DeepSWE for Cognition FrontierCode v1.1

Artificial Analysis describes its Coding Agent Index v2.0, an equal-weight average of three benchmarks: FrontierCode v1.1, Terminal-Bench 4.0, and SWE-Atlas-QnA-AA. The methodology covers 290 tasks and scores coding agents on end-to-end software engineering work alongside reliability, token usage, cost, and execution time. Scoring uses pass@1 for two benchmarks and mean rubric-based scores for FrontierCode. Attempts that error, time out, or hit a safety refusal score zero, and refusals are detected with deterministic rules and an LLM judge.

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What the source says

Artificial Analysis describes its Coding Agent Index v2.0, an equal-weight average of three benchmarks: FrontierCode v1.1, Terminal-Bench 4.0, and SWE-Atlas-QnA-AA. The methodology covers 290 tasks and scores coding agents on end-to-end software engineering work alongside reliability, token usage, cost, and execution time. Scoring uses pass@1 for two benchmarks and mean rubric-based scores for FrontierCode. Attempts that error, time out, or hit a safety refusal score zero, and refusals are detected with deterministic rules and an LLM judge.

Key findings from the stored brief

  • Coding Agent Index v2.0 is the equal-weight average of FrontierCode v1.1, Terminal-Bench 4.0 and SWE-Atlas-QnA-AA.
  • The index covers 290 tasks: 100 FrontierCode, 66 Terminal-Bench 4.0 and 124 SWE-Atlas-QnA-AA.
  • FrontierCode attempts fail a blocking check score zero, and attempts that fetch the upstream solution also score zero.
  • Attempts that error, exceed time limits or are blocked by a safety refusal score zero on every benchmark.
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Source claims not independently checked; the methodology describes Artificial Analysis's own benchmark construction and judge configuration.

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