AA MKA - Vertical - Finance - Climb WSR: leaderboard

Artificial Analysis MKA, Vertical - Finance - 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 October 2028. 21 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Argon (High)56.5#11 (Gemini 4 Argon)
2Gemini 4 Carbon (High)55.59#2 (Gemini 4 Carbon)
3Muse Wonder (Max)53.56#27 (Muse Wonder)
4GPT-6 Astra (Max)51.18#6 (GPT-6 Astra)
5Kimi K3.1 Pro50.25#28
6GPT-6.1 Terra (Max)47.29#19 (GPT-6.1 Terra)
7GPT-6.1 Sol (Max)47.24#10 (GPT-6.1 Sol)
8Claude Haiku 5.5 (Max)43.76#64 (Claude Haiku 5.5)
9Grok 4.7 (xHigh)42.93#43 (Grok 4.7)
10Qwen 3.8 Max (0902)41.54#49
11DeepSeek V4.1 Flash (1017) (Max)40.09#38 (DeepSeek V4.1 Flash (1017))
12MiMo-V2.6-Pro37#68
13GPT-6 Luna (Max)35.97#93 (GPT-6 Luna)
14Gemini 3.8 Flash (High)35.03#36 (Gemini 3.8 Flash)
15Mistral Large 4 (High)34.08#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-finance-climb-wsr · How It Works · Data refreshed daily, snapshot 2026-11-12.