# Multimodal Knowledge Agent Benchmark (MKA)

> Google DeepMind's benchmark of professional knowledge work where the key information sits in visual files such as architectural drawings, engineering schematics and medical scans. The agent has to deliver a finished report, spreadsheet, slide deck or marked-up drawing. Artificial Analysis runs it on a private 200-task set.

Canonical page: https://benchlm.ai/benchmarks/mka

- Category: [Agentic](/agentic)
- Last updated: November 10, 2026

## About MKA

- Year: 2026
- Tasks: 200 multimodal professional tasks across 10 industry verticals
- Format: Climb WSR (weighted rubric satisfaction rate, %)
- Difficulty: Expert multimodal knowledge work
- Paper: [MKA Benchmark Leaderboard](https://artificialanalysis.ai/evaluations/mka)

200 private tasks built with experts from 10 verticals and 83 occupations (business, construction, education, engineering, finance, healthcare, law and government, logistics and mapping, science, software and data); each takes a professional three to eight hours. Each task has an expert rubric of about 70 weighted yes/no checks, 75% on factual accuracy and 25% on visual design. Artificial Analysis runs every model in its open-source Stirrup harness (up to 250 turns, a Linux sandbox with code execution, web search and an image viewer) and grades with an agentic judge. BenchLM shows the headline Climb WSR: the weighted share of the harder rubric checks satisfied, averaged over tasks. Google published 10 showcase tasks on Hugging Face (google/multimodal-knowledge-agent, Apache 2.0) and keeps the scored set private. Announced November 10, 2026. Independently run by Artificial Analysis under its published harness. Display-only; not yet admitted as independent-run evidence.

MKA is currently displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Leaderboard (19 models)

| Rank | Model | Creator | Score |
|------|-------|---------|-------|
| 1 | [Claude Fable 5.2](/models/claude-fable-5-2) | Anthropic | 56.6% |
| 2 | [Gemini 4 Carbon](/models/gemini-4-carbon) | Google | 54.3% |
| 3 | [Claude Opus 5.5](/models/claude-opus-5-5) | Anthropic | 53.0% |
| 4 | [Claude Sonnet 5.5](/models/claude-sonnet-5-5) | Anthropic | 52.0% |
| 5 | [Gemini 4 Argon](/models/gemini-4-argon) | Google | 51.3% |
| 6 | [GPT-6 Astra](/models/gpt-6-astra) | OpenAI | 50.2% |
| 7 | [GPT-6.1 Sol](/models/gpt-6-1-sol) | OpenAI | 47.7% |
| 8 | [Muse Wonder](/models/muse-wonder) | Meta | 47.5% |
| 9 | [Kimi K3.1 Pro](/models/kimi-3-1-pro) | Moonshot AI | 43.9% |
| 10 | [GPT-6.1 Terra](/models/gpt-6-1-terra) | OpenAI | 43.8% |
| 11 | [Claude Haiku 5.5](/models/claude-haiku-5-5) | Anthropic | 41.0% |
| 12 | [Grok 4.7](/models/grok-4-7) | xAI | 40.1% |
| 13 | [MiMo-V2.6-Pro](/models/mimo-v2-6-pro) | Xiaomi | 37.3% |
| 14 | [GPT-6 Luna](/models/gpt-6-luna) | OpenAI | 36.8% |
| 15 | [GLM-5.3-Flash](/models/glm-5-3-flash) | Z.AI | 36.2% |
| 16 | [Gemini 3.8 Flash](/models/gemini-3-8-flash) | Google | 35.3% |
| 17 | [Mistral Large 4](/models/mistral-large-4) | Mistral | 35.1% |
| 18 | [MiniMax M3.1 Flash](/models/minimax-m3-1-flash) | MiniMax | 33.5% |
| 19 | [Step 5 Preview](/models/step-5-preview) | StepFun | 27.6% |

## FAQ

### What does MKA measure?

Google DeepMind's benchmark of professional knowledge work where the key information sits in visual files such as architectural drawings, engineering schematics and medical scans. The agent has to deliver a finished report, spreadsheet, slide deck or marked-up drawing. Artificial Analysis runs it on a private 200-task set.

### Which model scores highest on MKA?

Claude Fable 5.2 by Anthropic currently leads with a score of 56.6% on MKA.

### How many models are evaluated on MKA?

19 AI models have published results on MKA in the BenchLM catalog.

### Does MKA affect BenchLM's overall score?

Not directly. MKA is still displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Compare Top Models on MKA

- [Claude Fable 5.2 vs Gemini 4 Carbon](/compare/claude-fable-5-2-vs-gemini-4-carbon)
- [Gemini 4 Carbon vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-gemini-4-carbon)
- [Claude Opus 5.5 vs Claude Sonnet 5.5](/compare/claude-opus-5-5-vs-claude-sonnet-5-5)
- [Claude Sonnet 5.5 vs Gemini 4 Argon](/compare/claude-sonnet-5-5-vs-gemini-4-argon)
