Clinical Benchmarks
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HealthGPT-Pro-4B

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7 results on 1 of 13 boards, 6 of them on secondary measures, latest measured Aug 2026. Compare with other models

Clinical Benchmarks Index14.7Rank 139 of 1491 of 10 boardsAverage × multiplier 36.0 × 0.408 = 14.7This site’s own calculation. Working How it is computed

Results

Each line sits on its own board's scale. Tall tick: the board leader.

Safety

  1. MedPIC
    zero-shot; independent questions; exact option-set match
    36.0
    Rank 28 of 28Leader Gemini-3.1-Pro 80.7
    Independent run
    Measured Aug 2026

Index working

The Clinical Benchmarks Index is this site's own calculation: a weighted average of the board scores times a multiplier for the boards behind it. How it is computed

  • MedPIC36.036.0×0.482, near its ceilingNear its ceiling: leader 80.7, weight 0.482zero-shot; independent questions; exact option-set match
One board, so its score
36.0
Multiplier for 1 of 10 boards
× 0.408
Index
36.0 × 0.408 = 14.7

Score: the result on the board’s own 0 to 100 scale. Dot: this model; tick: the board’s leader. Weight: how much the board counts in the weighted average; bold where the board is near its ceiling and counts for less. Each result links to its quote and page; the line under it is the setting it was measured with.

Secondary measures

Safety

  1. MedPIC, Risk deactivation accuracy
    zero-shot; independent questions; exact option-set match
    41.2
    Rank 13 of 28Leader Gemini-3.1-Pro 77.9
    Independent run
    Measured Aug 2026
  2. MedPIC, Counterfactual accuracy (CF)
    zero-shot; independent questions; exact option-set match
    33.3
    Rank 21 of 28Leader Gemini-3.1-Pro 69.9
    Independent run
    Measured Aug 2026
  3. MedPIC, Linked counterfactual pair accuracy
    zero-shot; independent questions; exact option-set match
    11.2
    Rank 21 of 28Leader Gemini-3.1-Pro 48.3
    Independent run
    Measured Aug 2026
  4. MedPIC, Risk activation accuracy
    zero-shot; independent questions; exact option-set match
    36.6
    Rank 27 of 28Leader MedGemma-27B-Text 76.1
    Independent run
    Measured Aug 2026
  5. MedPIC, Guideline-following accuracy (GF)
    zero-shot; independent questions; exact option-set match
    37.7
    Rank 28 of 28Leader Gemini-3.1-Pro 87.7
    Independent run
    Measured Aug 2026
  6. MedPIC, Published GF-minus-CF accuracy gap
    zero-shot; independent questions; exact option-set match
    4.3
    Descriptive measure, not ranked
    Independent run
    Measured Aug 2026

Sources

The quote, page and document for each of the 7 results
  1. 28MedPIC zero-shot 36.0
    Printed as 36.0Independent run, measured Aug 2026Configuration: zero-shot; independent questions; exact option-set match
    Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning paper, Zhitian Hou, Yuhang Liu, Pengkai Wang, Zeyu Liu, Guanghao Zhu, Zheng Liu, Shuo Cai, Congkai Xie, Zhijie Sang, Kun Zeng, Hongxia Yang (The Hong Kong Polytechnic University; InfiX.ai; Sun Yat-sen University), 4 Aug 2026. arXiv:2608.03028v1, Section 4, Table 2 (#S4.T2), row HealthGPT-Pro-4B, column Overall; row order: Model | Overall | GF | CF | Δ_GF−CF | Activation | Deactivation | Pair
    HealthGPT-Pro-4B | 36.0 | 37.7 | 33.3 | 4.3 | 36.6 | 41.2 | 11.2
    Every result from this document
  2. 28MedPIC, Guideline-following accuracy (GF) zero-shot 37.7
    Printed as 37.7Independent run, measured Aug 2026Configuration: zero-shot; independent questions; exact option-set match
    Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning paper, Zhitian Hou, Yuhang Liu, Pengkai Wang, Zeyu Liu, Guanghao Zhu, Zheng Liu, Shuo Cai, Congkai Xie, Zhijie Sang, Kun Zeng, Hongxia Yang (The Hong Kong Polytechnic University; InfiX.ai; Sun Yat-sen University), 4 Aug 2026. arXiv:2608.03028v1, Section 4, Table 2 (#S4.T2), row HealthGPT-Pro-4B, column GF; row order: Model | Overall | GF | CF | Δ_GF−CF | Activation | Deactivation | Pair
    HealthGPT-Pro-4B | 36.0 | 37.7 | 33.3 | 4.3 | 36.6 | 41.2 | 11.2
    Every result from this document
  3. 21MedPIC, Counterfactual accuracy (CF) zero-shot 33.3
    Printed as 33.3Independent run, measured Aug 2026Configuration: zero-shot; independent questions; exact option-set match
    Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning paper, Zhitian Hou, Yuhang Liu, Pengkai Wang, Zeyu Liu, Guanghao Zhu, Zheng Liu, Shuo Cai, Congkai Xie, Zhijie Sang, Kun Zeng, Hongxia Yang (The Hong Kong Polytechnic University; InfiX.ai; Sun Yat-sen University), 4 Aug 2026. arXiv:2608.03028v1, Section 4, Table 2 (#S4.T2), row HealthGPT-Pro-4B, column CF; row order: Model | Overall | GF | CF | Δ_GF−CF | Activation | Deactivation | Pair
    HealthGPT-Pro-4B | 36.0 | 37.7 | 33.3 | 4.3 | 36.6 | 41.2 | 11.2
    Every result from this document
  4. 21MedPIC, Linked counterfactual pair accuracy zero-shot 11.2
    Printed as 11.2Independent run, measured Aug 2026Configuration: zero-shot; independent questions; exact option-set match
    Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning paper, Zhitian Hou, Yuhang Liu, Pengkai Wang, Zeyu Liu, Guanghao Zhu, Zheng Liu, Shuo Cai, Congkai Xie, Zhijie Sang, Kun Zeng, Hongxia Yang (The Hong Kong Polytechnic University; InfiX.ai; Sun Yat-sen University), 4 Aug 2026. arXiv:2608.03028v1, Section 4, Table 2 (#S4.T2), row HealthGPT-Pro-4B, column Pair; row order: Model | Overall | GF | CF | Δ_GF−CF | Activation | Deactivation | Pair
    HealthGPT-Pro-4B | 36.0 | 37.7 | 33.3 | 4.3 | 36.6 | 41.2 | 11.2
    Every result from this document
  5. 27MedPIC, Risk activation accuracy zero-shot 36.6
    Printed as 36.6Independent run, measured Aug 2026Configuration: zero-shot; independent questions; exact option-set match
    Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning paper, Zhitian Hou, Yuhang Liu, Pengkai Wang, Zeyu Liu, Guanghao Zhu, Zheng Liu, Shuo Cai, Congkai Xie, Zhijie Sang, Kun Zeng, Hongxia Yang (The Hong Kong Polytechnic University; InfiX.ai; Sun Yat-sen University), 4 Aug 2026. arXiv:2608.03028v1, Section 4, Table 2 (#S4.T2), row HealthGPT-Pro-4B, column Activation; row order: Model | Overall | GF | CF | Δ_GF−CF | Activation | Deactivation | Pair
    HealthGPT-Pro-4B | 36.0 | 37.7 | 33.3 | 4.3 | 36.6 | 41.2 | 11.2
    Every result from this document
  6. 13MedPIC, Risk deactivation accuracy zero-shot 41.2
    Printed as 41.2Independent run, measured Aug 2026Configuration: zero-shot; independent questions; exact option-set match
    Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning paper, Zhitian Hou, Yuhang Liu, Pengkai Wang, Zeyu Liu, Guanghao Zhu, Zheng Liu, Shuo Cai, Congkai Xie, Zhijie Sang, Kun Zeng, Hongxia Yang (The Hong Kong Polytechnic University; InfiX.ai; Sun Yat-sen University), 4 Aug 2026. arXiv:2608.03028v1, Section 4, Table 2 (#S4.T2), row HealthGPT-Pro-4B, column Deactivation; row order: Model | Overall | GF | CF | Δ_GF−CF | Activation | Deactivation | Pair
    HealthGPT-Pro-4B | 36.0 | 37.7 | 33.3 | 4.3 | 36.6 | 41.2 | 11.2
    Every result from this document
  7. –MedPIC, Published GF-minus-CF accuracy gap zero-shot 4.3
    Printed as 4.3Independent run, measured Aug 2026Configuration: zero-shot; independent questions; exact option-set match
    Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning paper, Zhitian Hou, Yuhang Liu, Pengkai Wang, Zeyu Liu, Guanghao Zhu, Zheng Liu, Shuo Cai, Congkai Xie, Zhijie Sang, Kun Zeng, Hongxia Yang (The Hong Kong Polytechnic University; InfiX.ai; Sun Yat-sen University), 4 Aug 2026. arXiv:2608.03028v1, Section 4, Table 2 (#S4.T2), row HealthGPT-Pro-4B, column Δ_GF−CF; row order: Model | Overall | GF | CF | Δ_GF−CF | Activation | Deactivation | Pair
    HealthGPT-Pro-4B | 36.0 | 37.7 | 33.3 | 4.3 | 36.6 | 41.2 | 11.2
    Every result from this document

Other ZJU4HealthCare models: HealthGPT-Pro-8B