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The LLM benchmark aggregator.

Opencua 7B

The University of Hong Kong & Moonshot AI · 7B

Strongest in Computer use (#61 of 80, on 1 of its 2 boards), weakest in Agents (#192 of 289). Above par in 0 of 2 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5.1 and ahead of UI-TARS 1.5 7B and UI-TARS 72B Dpo.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Agents46#192/289
Computer use41.9#61/80

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Opencua 7B, left for the other.

Gemma 4 31Bwon 2 · lost 0
Kimi Vl A3Bwon 2 · lost 0
Gemini 3.1 Prowon 2 · lost 0
Inklingwon 2 · lost 0
Opencua A3Bwon 2 · lost 0
Mistral Large 4won 2 · lost 0
Opencua Qwen2 7Bwon 2 · lost 0
UI-TARS 72B Dpowon 2 · lost 0
UI-TARS 1.5 7Bwon 2 · lost 0
Claude Haiku 4.5won 1 · lost 1
Nemotron 3.5 Super VLwon 1 · lost 1
Beam 1.0won 1 · lost 1
O3won 1 · lost 1
GLM-5.3won 1 · lost 1
Step 5won 1 · lost 1
Kimi K3won 1 · lost 1
TianXi Action 7Bwon 0 · lost 2
Computer Usewon 0 · lost 2
Gui Owl 7Bwon 0 · lost 2
Opencua 32Bwon 0 · lost 2
Claude 3.7 Sonnetwon 0 · lost 2
DeepMiner Mano 7Bwon 0 · lost 2
DART GUI 7Bwon 0 · lost 2
Claude Sonnet 4won 0 · lost 2
Qwen3 Vl Flashwon 0 · lost 2
UI-TARSwon 0 · lost 2
MiniMax M3won 0 · lost 2
Opencua 72Bwon 0 · lost 2
Qwen3.8 Flashwon 0 · lost 2
EvoCUA 8Bwon 0 · lost 2
Qwen3.8 27Bwon 0 · lost 2
Muse Spark 1.2won 0 · lost 2
GPT-5.6 Lunawon 0 · lost 2
UI-TARS 2won 0 · lost 2
DeepMiner Mano 72Bwon 0 · lost 2
GPT-5.5won 0 · lost 2
Muse Spark Openwon 0 · lost 2
GUI-Owl-1.5 32Bwon 0 · lost 2
Grok 4.5won 0 · lost 2
GPT-6 Lunawon 0 · lost 2
EvoCUAwon 0 · lost 2
Claude Sonnet 4.6won 0 · lost 2
Gemini 3.7 Flashwon 0 · lost 2
Kimi K2.5won 0 · lost 2
Seed 1.8won 0 · lost 2
Qwen3.7 Pluswon 0 · lost 2
Kimi K2.6won 0 · lost 2
Gemini 3.8 Flashwon 0 · lost 2
Qwen3.8 Maxwon 0 · lost 2
GPT-5.6 Terrawon 0 · lost 2
GLM-5.3 Flashwon 0 · lost 2
GPT-5.6 Solwon 0 · lost 2
Claude Sonnet 4.5won 0 · lost 2
Muse Spark 1.1won 0 · lost 2
Claude Sonnet 5won 0 · lost 2
Muse Spark 1.3won 0 · lost 2
Holo3 35B A3Bwon 0 · lost 2
Grok 4.6won 0 · lost 2
Claude Opus 4.8won 0 · lost 2
Mimo V2.6 Prowon 0 · lost 2
GPT-6 Solwon 0 · lost 2
DeepSeek V4.1 Flashwon 0 · lost 2
Grok 4.7won 0 · lost 2
Claude Haiku 5.5won 0 · lost 2
Muse Wonderwon 0 · lost 2
Gemini 4 Argonwon 0 · lost 2
GPT-6.1 Solwon 0 · lost 2
GPT-6 Astrawon 0 · lost 2
Claude Fable 5won 0 · lost 2
Claude Opus 5won 0 · lost 2
Claude Sonnet 5.5won 0 · lost 2
Claude Fable 5.1won 0 · lost 2
Claude Opus 5.5won 0 · lost 2

§ 3 · Sources

Where the numbers come from

1 publication, 1 figures. Every one links to the page it was read from.

OSWorld ↗1 measureread 2026-10-19
OSWorld 28.2% (Specialized model)

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