Artificial Analysis tests LLM task termination performance in robotic arm control
11/04/2026 — 11/04, 10:16·1 sources (all)·2 reports (all)
Key takeaways
- Artificial Analysis testing shows significant differences in how frontier models judge when to terminate tasks in robotic arm control. Only…
Background & analysis
On 2026-11-04, Artificial Analysis published a test on X examining how well language models judge when a task is finished while controlling a robot arm. The results showed clear differences among models. Only GPT-6.1 Sol and Gemini 4 Argon stopped within a minute of completing the task. GPT-6 Astra submitted 3 minutes after reaching the passing state, Claude Fable 5.1 kept going for 7 minutes, and Claude Opus 5.5 continued for 22 minutes.
AI-generated from 2 reports · updated 2 days ago
Latest turnAccording to Artificial Analysis benchmarks on language models controlling robot arms, models varied significantly in knowing when to stop. Only GPT-6.1 Sol and Gemini 4 Argon stopped within a minute of completing the task, while Claude Opus 5.5 kept running for 22 minutes after reaching the goal.
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Reports on this story headlines open the original
According to Artificial Analysis benchmarks on language models controlling robot arms, models varied significantly in knowing when to stop. Only GPT-6.1 Sol and Gemini 4 Argon stopped within a minute of completing the task, while Claude Opus 5.5 kept running for 22 minutes after reaching the goal.
X：Artificial Analysis (@artificialanlys)First-partyAI score 58According to Artificial Analysis testing, language models struggle to determine when to stop tasks when controlling robot arms. Claude Opus 5.5 verbally confirmed task completion after 23 minutes, yet continued pushing the toy crocodile back and forth for another 22 minutes.
X：Artificial Analysis (@artificialanlys)First-partyAI score 58
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