AA MKA - Climb WSR: leaderboard

Artificial Analysis MKA, Climb 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: Around 2029. 21 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Carbon (High)54.34#2 (Gemini 4 Carbon)
2Gemini 4 Argon (High)51.26#11 (Gemini 4 Argon)
3GPT-6 Astra (Max)50.24#6 (GPT-6 Astra)
4GPT-6.1 Sol (Max)47.72#10 (GPT-6.1 Sol)
5Muse Wonder (Max)47.49#27 (Muse Wonder)
6Kimi K3.1 Pro43.86#28
7GPT-6.1 Terra (Max)43.76#19 (GPT-6.1 Terra)
8Claude Haiku 5.5 (Max)40.96#64 (Claude Haiku 5.5)
9Grok 4.7 (xHigh)40.14#43 (Grok 4.7)
10DeepSeek V4.1 Flash (1017) (Max)38.54#38 (DeepSeek V4.1 Flash (1017))
11Qwen 3.8 Max (0902)37.43#49
12MiMo-V2.6-Pro37.32#68
13GPT-6 Luna (Max)36.75#93 (GPT-6 Luna)
14GLM-5.3 Flash36.24#119
15Gemini 3.8 Flash (High)35.27#36 (Gemini 3.8 Flash)

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

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