AA MKA - Regression WSR: leaderboard

Artificial Analysis MKA, Regression WSR: criterion-weighted task satisfaction, reported as a percentage. 200 private MKA tasks; one run per task, Stirrup, 250 turns and 8 hours; Linux sandbox with code, internet, search, page fetch and image viewing. GPT-6 Luna medium agentic judge; criterion weights 1–5, task-mean weighted satisfaction. Climb and Regression criterion populations remain separate (Regression covers 180 tasks). Empty submissions and errored runs score zero; final-text-only submissions are graded. The judge has no network or input files. Native effort and fallback labels retained. Source: https://artificialanalysis.ai/evaluations/mka

Metric: Weighted Satisfaction Rate (%). Source: artificialanalysis.ai. Saturation forecast: Estimated already saturated. 21 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Argon (High)96.38#11 (Gemini 4 Argon)
2Gemini 4 Carbon (High)96.36#2 (Gemini 4 Carbon)
3Muse Wonder (Max)95.89#27 (Muse Wonder)
4GPT-6 Astra (Max)95.17#6 (GPT-6 Astra)
5GPT-6.1 Sol (Max)94.59#10 (GPT-6.1 Sol)
6Kimi K3.1 Pro93.83#28
7Gemini 3.8 Flash (High)93.63#36 (Gemini 3.8 Flash)
8Claude Haiku 5.5 (Max)92.82#64 (Claude Haiku 5.5)
9DeepSeek V4.1 Flash (1017) (Max)92.54#38 (DeepSeek V4.1 Flash (1017))
10MiMo-V2.6-Pro91.74#68
11Grok 4.7 (xHigh)91.71#43 (Grok 4.7)
12GPT-6.1 Terra (Max)91.13#19 (GPT-6.1 Terra)
13GLM-5.3 Flash90.85#119
14Mistral Large 4 (High)90.2#125 (Mistral Large 4)
15Qwen 3.8 Max (0902)89.25#49

No result here: #1 Claude Fable 5.2, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=aa-mka-regression-wsr · How It Works · Data refreshed daily, snapshot 2026-11-12.