MiMo V2.5 Pro
1M context1.02T A42BopenAlso written as xiaomi/mimo-v2.5-pro
3 results on 3 of 13 boards, latest measured Sep 2026. Compare with other models
Clinical Benchmarks Index23.1Rank 99 of 1493 of 10 boardsAverage × multiplier 32.7 × 0.707 = 23.1This site’s own calculation. Working How it is computed
Results
Each line sits on its own board's scale. Tall tick: the board leader.
Documentation and coding
- MedScribe (Vals AI)model ID xiaomi/mimo-v2.5-pro; temperature=1; top_p=0.95; max_output_tokens=3000083.73Rank 39 of 105Leader Claude Opus 5.5 91.43
- MedCode (Vals AI)model ID xiaomi/mimo-v2.5-pro; temperature=1; top_p=0.95; max_output_tokens=3000032.48Rank 85 of 103Leader Claude Opus 5 63.57
EHR and workflow agents
- PhysicianBenchPass@1 over 3 runs; Pass^3 6.0; shared FHIR tool harness; up to 100 turns; high reasoning when supported16.7Rank 23 of 28 here, 12 models on the boardLeader Claude Opus 5.5 (max) 68.4
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
- MedScribe (Vals AI)83.7383.7×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID xiaomi/mimo-v2.5-pro; temperature=1; top_p=0.95; max_output_tokens=30000
- MedCode (Vals AI)32.4832.5×0.911model ID xiaomi/mimo-v2.5-pro; temperature=1; top_p=0.95; max_output_tokens=30000
- PhysicianBench16.716.7×0.79Pass@1 over 3 runs; Pass^3 6.0; shared FHIR tool harness; up to 100 turns; high reasoning when supported
- Weighted average of 3 boards
- 32.7
- Multiplier for 3 of 10 boards
- × 0.707
- Index
- 32.7 × 0.707 = 23.1
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.
Sources
The quote, page and document for each of the 3 results
39MedScribe (Vals AI) mimo-v2.5-pro 83.73
Printed as 83.73%Official leaderboard, measured Sep 2026Configuration: model ID xiaomi/mimo-v2.5-pro; temperature=1; top_p=0.95; max_output_tokens=30000Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 39 of 105 (MiMo V2.5 Pro), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["xiaomi/mimo-v2.5-pro"].39 | MiMo V2.5 Pro | 83.73%±2.06 | $0.435/$0.87 | 90.71s
Every result from this document85MedCode (Vals AI) mimo-v2.5-pro 32.48
Printed as 32.48%Official leaderboard, measured Sep 2026Configuration: model ID xiaomi/mimo-v2.5-pro; temperature=1; top_p=0.95; max_output_tokens=30000Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 85 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["xiaomi/mimo-v2.5-pro"].85 | MiMo V2.5 Pro | 32.48%±1.91 | $0.435/$0.87 | 38.45s
Every result from this document23PhysicianBench Pass@1 over 3 runs 16.7
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
Other Xiaomi models: MiMo V2.5, MiMo V2.6 Flash, MiMo V2.6 Pro