Positive users praise Muse Spark 1.1 for matching GPT-5.6 Sol on HealthBench at far lower cost, while negative users dismiss the benchmarks as manipulated or irrelevant to real clinical use and distrust Meta with health data.
Based on 18 visible X reactions from 33 accounts; directional sample.
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@alexandr_wang Meta is not a company I trust with my health data. So the benchmark score is almost irrelevant unless users can retain custody of that data. Will Muse Spark 1.1 be released as open weights under a license that permits local inference?
@alexandr_wang Wait, is this fine-tuned on clinical data or just general reasoning? Would love to see real-world edge case breakdowns.
@alexandr_wang MuseSpark is best on every fake benchmark Meta created so MuseSpark can be best 🤣🤣🤣
@alexandr_wang meta's model beating openai on healthcare is the crossover nobody saw coming in the ai wars 📊
The new medical model reduces output token costs by sevenfold.
@alexandr_wang Meta is not a company I trust with my health data. So the benchmark score is almost irrelevant unless users can retain custody of that data. Will Muse Spark 1.1 be released as open weights under a license that permits local inference?
@alexandr_wang Wait, is this fine-tuned on clinical data or just general reasoning? Would love to see real-world edge case breakdowns.
@alexandr_wang meta's model beating openai on healthcare is the crossover nobody saw coming in the ai wars 📊
@alexandr_wang Good job 👏
@alexandr_wang That’s great
Super cool results on some of the newer frontier models on healthcare evaluation! 7× cheaper at on-par quality is the biggest result that matters for real-world clinical deployment, as frontier model pricing is the actual bottleneck, not the capability gap. Curious how this holds on tasks requiring differential diagnosis vs. information retrieval. HealthBench skews toward the latter.
On HealthBench Pro, Muse Spark 1.1 achieves similar performance with GPT-5.6 Sol (maybe slightly better) at a fraction of the cost. Affordable health superintelligence is our north star! https://twitter.com/MedicalSphereAI/status/2076776649807573075
Muse Spark 1.1 is SOTA on HealthBench Professional! It is the best health model out there:) https://twitter.com/MedicalSphereAI/status/2076776649807573075
Positive users praise Muse Spark 1.1 for matching GPT-5.6 Sol on HealthBench at far lower cost, while negative users dismiss the benchmarks as manipulated or irrelevant to real clinical use and distrust Meta with health data.
Based on 18 visible X reactions from 33 accounts; directional sample.
Ask a question below.
Published answers will appear here.
@alexandr_wang That’s great
Super cool results on some of the newer frontier models on healthcare evaluation! 7× cheaper at on-par quality is the biggest result that matters for real-world clinical deployment, as frontier model pricing is the actual bottleneck, not the capability gap. Curious how this holds on tasks requiring differential diagnosis vs. information retrieval. HealthBench skews toward the latter.
On HealthBench Pro, Muse Spark 1.1 achieves similar performance with GPT-5.6 Sol (maybe slightly better) at a fraction of the cost. Affordable health superintelligence is our north star! https://twitter.com/MedicalSphereAI/status/2076776649807573075