PhysicianBench
Agents carrying out long-horizon physician workflows inside real EHR systems, verified by execution against those systems.
academic team28 rows20 models on the boardmeasured to Oct 2026
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Agents carrying out long-horizon physician workflows inside real EHR systems, verified by execution against those systems.
LLM agents on long-horizon composite physician workflows inside real EHR environments, with execution-grounded verification against actual EHR systems via standard commercial APIs.
Scores come from the paper; there is no standalone public leaderboard, and the results also feed the ARISE MAST composite. The lower half of the table falls steeply, with several agents near 1 percent on Pass^3 consistency.
Published by Academic team (Ruoqi Liu, Imran Q. Mohiuddin et al., arXiv 2605.02240); also a MAST component, released May 2026. 100 real-world clinical tasks, 21 specialties, 670 structured checkpoints (~27 tool calls per task). Pass@1 success rate %, higher better (3 independent runs; Pass^3 also reported).
- Table
- Table 2, p. 8
- Headline metric
- Pass@1 (%), mean ± sd over 3 runs
- Paper date
- 4 May 2026
- Paper version
- v1
- Models in the paper's table
- 12
Ranking
- Printed as 68.4%Vendor-reported, measured Sep 2026Configuration: Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabledClaude Sonnet 5.5 System Card system card, Anthropic, 28 Sep 2026. pp. 138–139, Section 8.15.3; PhysicianBench pass@1, Claude Opus 5.5 (max).
PhysicianBench is a public benchmark of 100 physician tasks carried out in an EHR. At max effort, Claude Sonnet 5.5 passes 63.2% of attempts, well above Claude Sonnet 5 (37.4%), level with Claude Fable 5.1 (61.0%), about 6 points above Claude Opus 5 (57.6%) and about 5 points below Claude Opus 5.5 (68.4%).
Every result from this document - Printed as 63.2%Vendor-reported, measured Sep 2026Configuration: Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabledClaude Sonnet 5.5 System Card system card, Anthropic, 28 Sep 2026. pp. 138–139, Section 8.15.3; PhysicianBench pass@1, Claude Sonnet 5.5 (max).
PhysicianBench is a public benchmark of 100 physician tasks carried out in an EHR. At max effort, Claude Sonnet 5.5 passes 63.2% of attempts, well above Claude Sonnet 5 (37.4%), level with Claude Fable 5.1 (61.0%), about 6 points above Claude Opus 5 (57.6%) and about 5 points below Claude Opus 5.5 (68.4%).
Every result from this document - Printed as 61.0%Vendor-reported, measured Sep 2026Configuration: Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabledClaude Sonnet 5.5 System Card system card, Anthropic, 28 Sep 2026. pp. 138–139, Section 8.15.3; PhysicianBench pass@1, Claude Fable 5.1 (max).
PhysicianBench is a public benchmark of 100 physician tasks carried out in an EHR. At max effort, Claude Sonnet 5.5 passes 63.2% of attempts, well above Claude Sonnet 5 (37.4%), level with Claude Fable 5.1 (61.0%), about 6 points above Claude Opus 5 (57.6%) and about 5 points below Claude Opus 5.5 (68.4%).
Every result from this document - Printed as 57.6%Vendor-reported, measured Sep 2026Configuration: Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabledClaude Sonnet 5.5 System Card system card, Anthropic, 28 Sep 2026. pp. 138–139, Section 8.15.3; PhysicianBench pass@1, Claude Opus 5 (max).
PhysicianBench is a public benchmark of 100 physician tasks carried out in an EHR. At max effort, Claude Sonnet 5.5 passes 63.2% of attempts, well above Claude Sonnet 5 (37.4%), level with Claude Fable 5.1 (61.0%), about 6 points above Claude Opus 5 (57.6%) and about 5 points below Claude Opus 5.5 (68.4%).
Every result from this document - Printed as 56.4%Vendor-reported, measured Sep 2026Configuration: Anthropic harness; 100 tasks; pass@1; xhigh effort; Opus 5 rubric grader; safety classifiers enabledClaude Sonnet 5.5 System Card system card, Anthropic, 28 Sep 2026. p. 138, Figure 8.15.B, right panel PhysicianBench (pass@1); orange Sonnet 5.5 xhigh label (visually read printed labels).
Sonnet 5.5 | PhysicianBench (pass@1) | xhigh 56.4%
Every result from this document - Printed as 47.6%Vendor-reported, measured Sep 2026Configuration: Anthropic harness; 100 tasks; pass@1; high effort; Opus 5 rubric grader; safety classifiers enabledClaude Sonnet 5.5 System Card system card, Anthropic, 28 Sep 2026. p. 138, Figure 8.15.B, right panel PhysicianBench (pass@1); orange Sonnet 5.5 high label (visually read printed labels).
Sonnet 5.5 | PhysicianBench (pass@1) | high 47.6%
Every result from this document - Printed as 46.3 ± 1.2Official leaderboard, measured May 2026Configuration: pass@1; Pass^3 28.0PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. p. 8, Table 2 (columns Pass@1, Pass@3, Pass^3, #Turns)
GPT-5.5 46.3 ± 1.2 57.4 28.0 41.9
Every result from this document- Also printed in PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240): 46.3 ± 1.2, arXiv abs page (landing page for the PDF)
- Printed as 43.0%Vendor-reported, measured Oct 2026Configuration: Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 1 and 2Claude Haiku 5.5 System Card system card, Anthropic, 7 Oct 2026. pp. 132-133, Section 8.11.2, Figure 8.11.2.A caption and paragraph; also p. 133, Section 8.11.3
PhysicianBench is a public benchmark of 100 physician tasks carried out in an electronic health record (EHR). Claude Haiku 5.5 passed 43.0% of attempts (five attempts on each task).
Every result from this document - Printed as 37.4%Vendor-reported, measured Sep 2026Configuration: Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabledClaude Sonnet 5.5 System Card system card, Anthropic, 28 Sep 2026. pp. 138–139, Section 8.15.3; PhysicianBench pass@1, Claude Sonnet 5 (max).
PhysicianBench is a public benchmark of 100 physician tasks carried out in an EHR. At max effort, Claude Sonnet 5.5 passes 63.2% of attempts, well above Claude Sonnet 5 (37.4%), level with Claude Fable 5.1 (61.0%), about 6 points above Claude Opus 5 (57.6%) and about 5 points below Claude Opus 5.5 (68.4%).
Every result from this document - Printed as 35.8%Vendor-reported, measured Oct 2026Configuration: Anthropic harness; 100 tasks; pass@1; xhigh effort; Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 5Claude Haiku 5.5 System Card system card, Anthropic, 7 Oct 2026. p. 133, Section 8.11.3; p. 134, Figure 8.11.3.A PhysicianBench panel
On PhysicianBench (five attempts per task at each level), Haiku 5.5 passed 17.8% of attempts at low, 25.2% at medium, 31.6% at high, 35.8% at xhigh and 43.0% at max.
Every result from this document
All 28 rowsTop 10 only
- Printed as 33.6%Independent run, measured Oct 2026Configuration: Run by Anthropic through OpenAI's public API; Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; not OpenAI's published figureClaude Haiku 5.5 System Card system card, Anthropic, 7 Oct 2026. p. 133, Section 8.11.2; p. 132, Figure 8.11.2.A GPT-6 Luna bar; p. 131-132, Section 8.11.1 says GPT-6 Luna scores come from Anthropic's own runs
This was 9.4 points above GPT-6 Luna at 33.6% (95% confidence interval 2.6 to 16.2 points, paired by task)
Every result from this document - Printed as 31.7 ± 2.3Official leaderboard, measured May 2026Configuration: Pass^3 18.0PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. p. 8, Table 2 (columns Pass@1, Pass@3, Pass^3, #Turns)
Claude Opus 4.6 31.7 ± 2.3 41.5 18.0 25.2
Every result from this document- Also printed in PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240): 31.7 ± 2.3, arXiv abs page (landing page for the PDF)
- Printed as 31.6%Vendor-reported, measured Oct 2026Configuration: Anthropic harness; 100 tasks; pass@1; high effort; Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 5Claude Haiku 5.5 System Card system card, Anthropic, 7 Oct 2026. p. 133, Section 8.11.3; p. 134, Figure 8.11.3.A PhysicianBench panel
On PhysicianBench (five attempts per task at each level), Haiku 5.5 passed 17.8% of attempts at low, 25.2% at medium, 31.6% at high, 35.8% at xhigh and 43.0% at max.
Every result from this document - Printed as 30.0%Vendor-reported, measured Sep 2026Configuration: Anthropic harness; 100 tasks; pass@1; medium effort; Opus 5 rubric grader; safety classifiers enabledClaude Sonnet 5.5 System Card system card, Anthropic, 28 Sep 2026. p. 138, Figure 8.15.B, right panel PhysicianBench (pass@1); orange Sonnet 5.5 medium label (visually read printed labels).
Sonnet 5.5 | PhysicianBench (pass@1) | medium 30.0%
Every result from this document - Printed as 29.3 ± 2.5Official leaderboard, measured May 2026Configuration: Pass^3 18.0PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. p. 8, Table 2 (columns Pass@1, Pass@3, Pass^3, #Turns)
Claude Opus 4.7 29.3 ± 2.5 37.9 18.0 16.2
Every result from this document- Also printed in PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240): 29.3 ± 2.5, arXiv abs page (landing page for the PDF)
- Printed as 27.7 ± 1.5Official leaderboard, measured May 2026PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. p. 8, Table 2 (columns Pass@1, Pass@3, Pass^3, #Turns)
GPT-5.4 27.7 ± 1.5 37.7 13.0 39.8
Every result from this document- Also printed in PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240): 27.7 ± 1.5, arXiv abs page (landing page for the PDF)
- Printed as 27.2%Vendor-reported, measured Sep 2026Configuration: Anthropic harness; 100 tasks; pass@1; low effort; Opus 5 rubric grader; safety classifiers enabledClaude Sonnet 5.5 System Card system card, Anthropic, 28 Sep 2026. p. 138, Figure 8.15.B, right panel PhysicianBench (pass@1); orange Sonnet 5.5 low label (visually read printed labels).
Sonnet 5.5 | PhysicianBench (pass@1) | low 27.2%
Every result from this document - Printed as 25.2%Vendor-reported, measured Oct 2026Configuration: Anthropic harness; 100 tasks; pass@1; medium effort (API default); Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 5Claude Haiku 5.5 System Card system card, Anthropic, 7 Oct 2026. p. 133, Section 8.11.3; p. 134, Figure 8.11.3.A PhysicianBench panel
On PhysicianBench (five attempts per task at each level), Haiku 5.5 passed 17.8% of attempts at low, 25.2% at medium, 31.6% at high, 35.8% at xhigh and 43.0% at max.
Every result from this document - Printed as 23.0 ± 2.6Official leaderboard, measured May 2026PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. p. 8, Table 2 (columns Pass@1, Pass@3, Pass^3, #Turns)
Claude Sonnet 4.6 23.0 ± 2.6 33.2 9.0 22.3
Every result from this document- Also printed in PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240): 23.0 ± 2.6, arXiv abs page (landing page for the PDF)
- Printed as 18.7 ± 2.9Official leaderboard, measured May 2026Configuration: Pass@1 over 3 runs; Pass^3 6.0; shared FHIR tool harness; up to 100 turns; high reasoning when supportedPhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. arXiv HTML 2605.02240v1, Section 5.2, Table 2; DeepSeek V4-Pro row, Pass@1 column (PDF p. 8).
Model | Pass@1 | Pass@3 | Pass^3 | #Turns DeepSeek V4-Pro | 18.7 ± 2.9 | 27.9 | 6.0 | 35.3
Every result from this document - Printed as 17.8%Vendor-reported, measured Oct 2026Configuration: Anthropic harness; 100 tasks; pass@1; low effort; Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 5Claude Haiku 5.5 System Card system card, Anthropic, 7 Oct 2026. p. 133, Section 8.11.3; p. 134, Figure 8.11.3.A PhysicianBench panel
On PhysicianBench (five attempts per task at each level), Haiku 5.5 passed 17.8% of attempts at low, 25.2% at medium, 31.6% at high, 35.8% at xhigh and 43.0% at max.
Every result from this document - Printed as 17.0 ± 2.6Official leaderboard, measured May 2026Configuration: open sourcePhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. p. 8, Table 2 (columns Pass@1, Pass@3, Pass^3, #Turns)
Kimi-K2.6 17.0 ± 2.6 26.3 5.0 42.4
Every result from this document- Also printed in PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240): 17.0 ± 2.6, arXiv abs page (landing page for the PDF)
- Printed as 16.7 ± 4.0Official leaderboard, measured May 2026Configuration: Pass@1 over 3 runs; Pass^3 6.0; shared FHIR tool harness; up to 100 turns; high reasoning when supportedPhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. arXiv HTML 2605.02240v1, Section 5.2, Table 2; MiMo-v2.5-Pro row, Pass@1 column (PDF p. 8).
Model | Pass@1 | Pass@3 | Pass^3 | #Turns MiMo-v2.5-Pro | 16.7 ± 4.0 | 23.6 | 6.0 | 29.5
Every result from this document - Printed as 13.7 ± 4.0Official leaderboard, measured May 2026PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. p. 8, Table 2 (columns Pass@1, Pass@3, Pass^3, #Turns)
Qwen3.6-Plus 13.7 ± 4.0 22.6 2.0 28.0
Every result from this document- Also printed in PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240): 13.7 ± 4.0, arXiv abs page (landing page for the PDF)
- Printed as 8.7 ± 1.2Official leaderboard, measured May 2026Configuration: Pass@1 over 3 runs; Pass^3 1.0; shared FHIR tool harness; up to 100 turns; high reasoning when supportedPhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. arXiv HTML 2605.02240v1, Section 5.2, Table 2; MiniMax M2.7 row, Pass@1 column (PDF p. 8).
Model | Pass@1 | Pass@3 | Pass^3 | #Turns MiniMax M2.7 | 8.7 ± 1.2 | 15.9 | 1.0 | 29.7
Every result from this document - Printed as 6.0 ± 1.0Official leaderboard, measured May 2026PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. p. 8, Table 2 (columns Pass@1, Pass@3, Pass^3, #Turns)
Gemini Pro 3.1 6.0 ± 1.0 9.3 3.0 30.4
Every result from this document- Also printed in PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240): 6.0 ± 1.0, arXiv abs page (landing page for the PDF)
- Printed as 5.3 ± 3.2Official leaderboard, measured May 2026PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF) paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026. p. 8, Table 2 (Proprietary Models block)
Grok-4.20 5.3 ± 3.2 9.7 1.0 16.7
Every result from this document - Printed as 1.4%Vendor-reported, measured Oct 2026Configuration: Anthropic harness; 100 tasks; pass@1; extended thinking (no effort setting); Opus 5 rubric grader; safety classifiers enabled; measured for the Haiku 5.5 cardClaude Haiku 5.5 System Card system card, Anthropic, 7 Oct 2026. p. 132, Figure 8.11.2.A PhysicianBench pass rate, Claude Haiku 4.5 bar label (visually read printed label; not repeated in the text)
Claude Haiku 4.5 | 1.4%
Every result from this document
No rows match. Turn a reported-by option back on or clear the chosen models.
Pass@1 success rate %, higher better (3 independent runs; Pass^3 also reported). Bar colour: the lab; a pale bar with an outline is a number the model’s own lab reported. Select a row for its quote, page and document.
| Rank | Model | Lab | Score | Configuration | Reported by | Measured | Source |
|---|---|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 (max) | Anthropic | 68.4 | Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabled | Vendor-reported | Sep 2026 | Quote and page |
| 2 | Claude Sonnet 5.5 (max) | Anthropic | 63.2 | Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabled | Vendor-reported | Sep 2026 | Quote and page |
| 3 | Claude Fable 5.1 (max) | Anthropic | 61.0 | Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabled | Vendor-reported | Sep 2026 | Quote and page |
| 4 | Claude Opus 5 (max) | Anthropic | 57.6 | Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabled | Vendor-reported | Sep 2026 | Quote and page |
| 5 | Claude Sonnet 5.5 (xhigh) | Anthropic | 56.4 | Anthropic harness; 100 tasks; pass@1; xhigh effort; Opus 5 rubric grader; safety classifiers enabled | Vendor-reported | Sep 2026 | Quote and page |
| 6 | Claude Sonnet 5.5 (high) | Anthropic | 47.6 | Anthropic harness; 100 tasks; pass@1; high effort; Opus 5 rubric grader; safety classifiers enabled | Vendor-reported | Sep 2026 | Quote and page |
| 7 | GPT-5.5 | OpenAI | 46.3 | pass@1; Pass^3 28.0 | Official leaderboard | May 2026 | Quote and page |
| 8 | Claude Haiku 5.5 (max) | Anthropic | 43.0 | Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 1 and 2 | Vendor-reported | Oct 2026 | Quote and page |
| 9 | Claude Sonnet 5 (max) | Anthropic | 37.4 | Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; safety classifiers enabled | Vendor-reported | Sep 2026 | Quote and page |
| 10 | Claude Haiku 5.5 (xhigh) | Anthropic | 35.8 | Anthropic harness; 100 tasks; pass@1; xhigh effort; Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 5 | Vendor-reported | Oct 2026 | Quote and page |
| 11 | GPT-6 Luna (Anthropic run) | OpenAI | 33.6 | Run by Anthropic through OpenAI's public API; Anthropic harness; 100 tasks; pass@1; max effort; Opus 5 rubric grader; not OpenAI's published figure | Independent run | Oct 2026 | Quote and page |
| 12 | Claude Opus 4.6 | Anthropic | 31.7 | Pass^3 18.0 | Official leaderboard | May 2026 | Quote and page |
| 13 | Claude Haiku 5.5 (high) | Anthropic | 31.6 | Anthropic harness; 100 tasks; pass@1; high effort; Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 5 | Vendor-reported | Oct 2026 | Quote and page |
| 14 | Claude Sonnet 5.5 (medium) | Anthropic | 30.0 | Anthropic harness; 100 tasks; pass@1; medium effort; Opus 5 rubric grader; safety classifiers enabled | Vendor-reported | Sep 2026 | Quote and page |
| 15 | Claude Opus 4.7 | Anthropic | 29.3 | Pass^3 18.0 | Official leaderboard | May 2026 | Quote and page |
| 16 | GPT-5.4 | OpenAI | 27.7 | Official leaderboard | May 2026 | Quote and page | |
| 17 | Claude Sonnet 5.5 (low) | Anthropic | 27.2 | Anthropic harness; 100 tasks; pass@1; low effort; Opus 5 rubric grader; safety classifiers enabled | Vendor-reported | Sep 2026 | Quote and page |
| 18 | Claude Haiku 5.5 (medium) | Anthropic | 25.2 | Anthropic harness; 100 tasks; pass@1; medium effort (API default); Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 5 | Vendor-reported | Oct 2026 | Quote and page |
| 19 | Claude Sonnet 4.6 | Anthropic | 23.0 | Official leaderboard | May 2026 | Quote and page | |
| 20 | DeepSeek V4-Pro | DeepSeek | 18.7 | Pass@1 over 3 runs; Pass^3 6.0; shared FHIR tool harness; up to 100 turns; high reasoning when supported | Official leaderboard | May 2026 | Quote and page |
| 21 | Claude Haiku 5.5 (low) | Anthropic | 17.8 | Anthropic harness; 100 tasks; pass@1; low effort; Opus 5 rubric grader; safety classifiers enabled; five attempts per task; run October 5 | Vendor-reported | Oct 2026 | Quote and page |
| 22 | Kimi-K2.6 | Moonshot AI | 17.0 | open source | Official leaderboard | May 2026 | Quote and page |
| 23 | MiMo-v2.5-Pro | Xiaomi | 16.7 | Pass@1 over 3 runs; Pass^3 6.0; shared FHIR tool harness; up to 100 turns; high reasoning when supported | Official leaderboard | May 2026 | Quote and page |
| 24 | Qwen3.6-Plus | Alibaba | 13.7 | Official leaderboard | May 2026 | Quote and page | |
| 25 | MiniMax M2.7 | MiniMax | 8.7 | Pass@1 over 3 runs; Pass^3 1.0; shared FHIR tool harness; up to 100 turns; high reasoning when supported | Official leaderboard | May 2026 | Quote and page |
| 26 | Gemini Pro 3.1 | 6.0 | Official leaderboard | May 2026 | Quote and page | ||
| 27 | Grok-4.20 | SpaceX AI | 5.3 | Official leaderboard | May 2026 | Quote and page | |
| 28 | Claude Haiku 4.5 (extended thinking) | Anthropic | 1.4 | Anthropic harness; 100 tasks; pass@1; extended thinking (no effort setting); Opus 5 rubric grader; safety classifiers enabled; measured for the Haiku 5.5 card | Vendor-reported | Oct 2026 | Quote and page |
Documents
4 documents support this board
- Claude Haiku 5.5 System Cardsystem card, Anthropic, 7 Oct 2026Results it supports
- Claude Sonnet 5.5 System Cardsystem card, Anthropic, 28 Sep 2026Results it supports
- PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240)paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026Results it supports
- PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (arXiv 2605.02240v1 PDF)paper, Stanford University (HealthRex; Liu, Chen et al.), 4 May 2026Results it supports