Medical Sphere
@MedicalSphereAI
The global community for advancing AI in healthcare
Tag @AskMedSphere to test AI models on medical cases
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🥇 We evaluated Grok 4.6 on MedAgentBench, a benchmark for agentic clinical EHR tasks, and it took the top spot. Grok 4.6 posts the highest pass@1 we've measured to date, moving ahead of the previous leader, GPT-5.6 Sol, to claim first place on the leaderboard. 🏥
Grok 4.6 averages ~95.9% pass@1 (avg of 3 runs), edging out the prior best (GPT-5.6-sol at ~94.7%) and improving on Grok 4.5 by roughly 2.5 points. On a benchmark where the model acts as an autonomous agent in a simulated EHR, calling FHIR APIs to complete clinical tasks across 10 task types, the result is also remarkably consistent run to run (95.3% to 96.3%).
📊 Leaderboards:
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We benchmarked Muse Spark 1.1 and GPT-5.6 Sol on HealthBench Professional, OpenAI's benchmark of 525 real clinician tasks 🏥🩺
Muse Spark 1.1 tops our board: better overall score than GPT-5.6 Sol, statistically on par on the length-adjusted score at a fraction of the cost ($1.25/$4.25 vs $5/$30 per M tokens in/out, ~7× cheaper on output).
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