ARE-bench Stage ISR - Execution: leaderboard

ARE-bench Stage ISR - Execution: Three-round mean checklist success (%). ARE-bench arXiv 2611.14364v1: 75 mid-session research-continuation tasks, 3 rollouts/task. Overall ISR requires every applicable checklist item, CSR is partial checklist success; values are three-round mean percentages, SD retained in source. GPT-6.1-Sol uses Codex, others Claude Code. Codex 0.118.0 / Claude Code 2.1.283 on RJob, varying by E2B run; Harbor 0.23.0 in 650 readable protocols. GLM historical deployments are mixed in published model aggregates; its aggregate is held for exact per-run checkpoint binding. Qwen3.8-Max retains the archived API label: the bibliography alone does not bind it to the open FP8 checkpoint. Effort is unreported, not inferred from current defaults.

Metric: Three-round mean checklist success (%). Source: arxiv.org. Saturation forecast: Around February 2027. 6 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6.1 Sol76.77#10
2Claude Opus 5.566.67#5
3DeepSeek V4.1 Flash61.62#58
4Qwen 3.8 Max50.51#55
5Kimi K347.47#53
6Qwen 3.8 27B39.39#199

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #6 GPT-6 Astra.

Interactive version: theaggregate.ai/benchmark?slug=are-bench-stage-isr-execution · How It Works · Data refreshed daily, snapshot 2026-11-12.