AA MKA - Vertical - Science - Climb WSR: leaderboard

Artificial Analysis MKA, Vertical - Science - 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 Argon (High)57.23#11 (Gemini 4 Argon)
2GPT-6 Astra (Max)53.45#6 (GPT-6 Astra)
3Gemini 4 Carbon (High)52.69#2 (Gemini 4 Carbon)
4GPT-6.1 Sol (Max)52.34#10 (GPT-6.1 Sol)
5Kimi K3.1 Pro48.84#28
6Muse Wonder (Max)46.97#27 (Muse Wonder)
7Mistral Large 4 (High)46.33#125 (Mistral Large 4)
8GPT-6.1 Terra (Max)45.24#19 (GPT-6.1 Terra)
9MiMo-V2.6-Pro43.98#68
10GLM-5.3 Flash43.71#119
11Qwen 3.8 Max (0902)41.87#49
12GPT-6 Luna (Max)40.75#93 (GPT-6 Luna)
13DeepSeek V4.1 Flash (1017) (Max)40.37#38 (DeepSeek V4.1 Flash (1017))
14Gemini 3.8 Flash (High)39.5#36 (Gemini 3.8 Flash)
15Grok 4.7 (xHigh)38.66#43 (Grok 4.7)

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

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