AA MKA - Vertical - Education - Climb WSR: leaderboard

Artificial Analysis MKA, Vertical - Education - 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 March 2028. 21 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Carbon (High)61.48#2 (Gemini 4 Carbon)
2GPT-6 Astra (Max)58.13#6 (GPT-6 Astra)
3GPT-6.1 Sol (Max)56.66#10 (GPT-6.1 Sol)
4GPT-6.1 Terra (Max)55.16#19 (GPT-6.1 Terra)
5Gemini 4 Argon (High)47.01#11 (Gemini 4 Argon)
6Muse Wonder (Max)44.91#27 (Muse Wonder)
7Claude Haiku 5.5 (Max)42.84#64 (Claude Haiku 5.5)
8Kimi K3.1 Pro42.73#28
9Qwen 3.8 Max (0902)40.47#49
10DeepSeek V4.1 Flash (1017) (Max)37.24#38 (DeepSeek V4.1 Flash (1017))
11GPT-6 Luna (Max)36.78#93 (GPT-6 Luna)
12GLM-5.3 Flash36.58#119
13Grok 4.7 (xHigh)36.27#43 (Grok 4.7)
14Gemini 3.8 Flash (High)35.68#36 (Gemini 3.8 Flash)
15Mistral Large 4 (High)34.32#125 (Mistral Large 4)

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

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