Vals MedScribe (MedScribe)
We show this table for reference; we do not rank on it.
Vals AI healthcare benchmark for whether models can support doctors with administrative work.
Evaluation results published by Vals AI. Published leaderboard aggregates and evaluation settings only. Dataset contents are not included.
MedScribe score on MedScribe — October 29, 2026
We mirror the published medscribe score view for MedScribe. Claude Opus 5.5 leads the public snapshot at 91.43%, followed by Claude Fable 5.1 (91.29%) and Claude Sonnet 5.5 (91.10%). We do not use these results to rank models overall.
Claude Opus 5.5
Anthropic
Claude Fable 5.1
Anthropic
Claude Sonnet 5.5
Anthropic
109 modelsKnowledgeCurrentDisplay onlyUpdated October 29, 2026
MedScribe score table (109 models)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | Claude Opus 5.5Anthropic | 91.43% | Not reported | Closed |
| 2 | Claude Fable 5.1Anthropic | 91.29% | Not reported | Closed |
| 3 | Claude Sonnet 5.5Anthropic | 91.10% | Not reported | Closed |
| 4 | Claude Opus 5Anthropic | 90.98% | Not reported | Closed |
| 5 | Muse Spark 1.2Metaxhigh reasoning | 90.06% | Not reported | Closed |
| 6 | Claude Haiku 5.5Anthropic | 89.54% | Not reported | Closed |
| 7 | Grok 4.7xAIxhigh reasoning | 89.38% | Not reported | Closed |
| 8 | Muse Wonder FullMetamax reasoning | 89.33% | Not reported | Closed |
| 9 | GLM-5.3-FlashZ.AImax reasoning | 88.94% | Not reported | Open |
| 10 | Muse Spark 1.1Metaxhigh reasoning | 88.89% | Not reported | Closed |
| 11 | GLM-5.3Z.AImax reasoning | 88.81% | Not reported | Open |
| 12 | Claude Fable 5Anthropic | 88.52% | Not reported | Closed |
| 13 | MiMo-V2.6-ProXiaomi | 88.31% | Not reported | Open |
| 14 | GPT-5.1OpenAIhigh reasoning | 88.09% | Not reported | Closed |
| 15 | Kimi K3Moonshot AImax reasoning | 88.05% | Not reported | Open |
| 16 | GPT-6 AstraOpenAImax reasoning | 87.91% | Not reported | Closed |
| 17 | Gemini 4 ArgonGooglehigh reasoning | 87.43% | Not reported | Closed |
| 18 | MiniMax M3MiniMax | 87.25% | Not reported | Open |
| 19 | Grok 4.5xAIhigh reasoning | 86.88% | Not reported | Closed |
| 20 | GPT-5.5OpenAIxhigh reasoning | 86.87% | Not reported | Closed |
| 21 | Claude Opus 4.6Anthropic | 86.74% | Not reported | Closed |
| 22 | Grok 4.6xAIhigh reasoning | 86.53% | Not reported | Closed |
| 23 | GPT-6.1 SolOpenAImax reasoning | 86.45% | Not reported | Closed |
| 24 | Claude Opus 4.6 (Adaptive)Anthropic | 86.13% | Not reported | Closed |
| 25 | Muse SparkMeta | 85.90% | Not reported | Closed |
| 26 | Claude Opus 4.8Anthropic | 85.75% | Not reported | Closed |
| 27 | DeepSeek V4.1 Flash 1017DeepSeekhigh reasoning | 85.50% | Not reported | Open |
| 28 | InklingThinking Machines Lab0.99 reasoning | 85.41% | Not reported | Open |
| 29 | Claude Opus 4.5 ThinkingAnthropic | 85.32% | Not reported | Closed |
| 30 | MiMo-V2.6-FlashXiaomi | 85.28% | Not reported | Open |
| 31 | GPT-5.6 SolOpenAImax reasoning | 85.23% | Not reported | Closed |
| 32 | Claude Haiku 4.5 ThinkingAnthropic | 85.23% | Not reported | Closed |
| 33 | Qwen3.8 MaxAlibaba | 84.95% | Not reported | Open |
| 34 | Claude Sonnet 4.5Anthropic | 84.52% | Not reported | Closed |
| 35 | Gemini 3.8 FlashGooglehigh reasoning | 84.50% | Not reported | Closed |
| 36 | GPT-5.6 LunaOpenAImax reasoning | 84.39% | Not reported | Closed |
| 37 | GPT-5.2OpenAIxhigh reasoning | 84.39% | Not reported | Closed |
| 38 | Inkling-SmallThinking Machines Lab0.99 reasoning | 84.11% | Not reported | Open |
| 39 | Claude Sonnet 4.5 ThinkingAnthropic | 84.10% | Not reported | Closed |
| 40 | Gemini 3.7 FlashGooglehigh reasoning | 83.94% | Not reported | Closed |
| 41 | Qwen3.8-27BAlibabaxhigh reasoning | 83.85% | Not reported | Open |
| 42 | MiMo-V2.5-ProXiaomi | 83.73% | Not reported | Closed |
| 43 | GPT-6 LunaOpenAImax reasoning | 83.71% | Not reported | Closed |
| 44 | GPT-5OpenAIhigh reasoning | 83.65% | Not reported | Unknown |
| 45 | Hy4 previewTencent | 83.60% | Not reported | Open |
| 46 | GLM-5.2Z.AI | 83.53% | Not reported | Open |
| 47 | Claude Opus 4.5Anthropic | 83.25% | Not reported | Closed |
| 48 | Gemini 2.5 Flash ThinkingGoogle | 82.98% | Not reported | Unknown |
| 49 | Claude Opus 4.7Anthropic | 82.95% | Not reported | Closed |
| 50 | Gemini 2.5 FlashGoogle | 82.87% | Not reported | Closed |
| 51 | GPT-5.6 TerraOpenAIxhigh reasoning | 82.87% | Not reported | Closed |
| 52 | GPT-6 SolOpenAImax reasoning | 82.03% | Not reported | Closed |
| 53 | Grok 4 Fast (Reasoning)xAI | 81.63% | Not reported | Closed |
| 54 | Ling 3.0 Flash 2607Ant | 80.90% | Not reported | Unknown |
| 55 | MiniMax M2.1MiniMax | 80.78% | Not reported | Unknown |
| 56 | GPT-5 miniOpenAIhigh reasoning | 80.58% | Not reported | Closed |
| 57 | Mistral Large 4Mistralhigh reasoning | 80.43% | Not reported | Open |
| 58 | DeepSeek V4 Flash 0731DeepSeekhigh reasoning | 80.36% | Not reported | Open |
| 59 | DeepSeek V4 Pro 0813DeepSeekmax reasoning | 80.17% | Not reported | Open |
| 60 | MiniMax M2.7MiniMax | 79.87% | Not reported | Open |
| 61 | Grok 4 Fast Non ReasoningxAI | 79.72% | Not reported | Unknown |
| 62 | Gemini 3.6 FlashGooglehigh reasoning | 79.66% | Not reported | Closed |
| 63 | Qwen3.7 MaxAlibaba | 79.40% | Not reported | Closed |
| 64 | Grok 4.1 Fast (Reasoning)xAI | 78.73% | Not reported | Closed |
| 65 | Gemini 2.5 Flash Preview 09 2025 ThinkingGoogle | 78.50% | Not reported | Unknown |
| 66 | Grok 4 0709xAI | 78.15% | Not reported | Unknown |
| 67 | Kimi K2.6Moonshot AI | 78.15% | Not reported | Open |
| 68 | Gemini 2.5 Flash Preview 09 2025Google | 77.95% | Not reported | Unknown |
| 69 | GPT-5.4OpenAIxhigh reasoning | 77.55% | Not reported | Closed |
| 70 | Grok 4.1 Fast Non ReasoningxAI | 77.46% | Not reported | Unknown |
| 71 | Qwen3 VL PlusAlibaba | 77.13% | Not reported | Unknown |
| 72 | GPT-5.4 nanoOpenAIhigh reasoning | 77.09% | Not reported | Closed |
| 73 | Qwen3.6 PlusAlibaba | 76.96% | Not reported | Closed |
| 74 | o3OpenAIhigh reasoning | 76.65% | Not reported | Closed |
| 75 | Gemini 3.5 FlashGooglehigh reasoning | 76.57% | Not reported | Closed |
| 76 | Kimi K2.5 ThinkingMoonshot AI | 76.44% | Not reported | Unknown |
| 77 | Gemini 3.1 Pro PreviewGooglehigh reasoning | 76.11% | Not reported | Unknown |
| 78 | Claude Sonnet 5Anthropic | 76.05% | Not reported | Closed |
| 79 | Gemini 2.5 Flash Lite Preview 09 2025Google | 75.82% | Not reported | Unknown |
| 80 | Ling 3.0 Flash Af Rc3Ant | 75.59% | Not reported | Unknown |
| 81 | DeepSeek V4 Pro 0813DeepSeekmax reasoning | 75.14% | Not reported | Open |
| 82 | Grok 4.3xAI | 74.40% | Not reported | Closed |
| 83 | Claude Opus 4.1 20250805 ThinkingAnthropic | 73.90% | Not reported | Unknown |
| 84 | Gemini 2.5 ProGoogle | 73.55% | Not reported | Closed |
| 85 | GPT-5 nanoOpenAIhigh reasoning | 72.86% | Not reported | Closed |
| 86 | Gemini 2.5 Flash-LiteGoogle | 72.83% | Not reported | Closed |
| 87 | Qwen3 MaxAlibaba | 72.71% | Not reported | Closed |
| 88 | Claude Sonnet 4Anthropic | 72.41% | Not reported | Unknown |
| 89 | GLM-5.1Z.AI | 72.27% | Not reported | Open |
| 90 | MiMo-V2.5Xiaomi | 72.15% | Not reported | Closed |
| 91 | Gemini 3 Pro PreviewGooglehigh reasoning | 72.04% | Not reported | Unknown |
| 92 | Claude Opus 4.1Anthropic | 71.75% | Not reported | Unknown |
| 93 | Gemini 3.5 Flash-LiteGooglehigh reasoning | 70.89% | Not reported | Closed |
| 94 | Qwen3.5 FlashAlibaba | 70.62% | Not reported | Closed |
| 95 | Gemini 3 Flash PreviewGooglehigh reasoning | 69.92% | Not reported | Unknown |
| 96 | Claude Sonnet 4 20250514 ThinkingAnthropic | 69.35% | Not reported | Unknown |
| 97 | o4-miniOpenAIhigh reasoning | 69.14% | Not reported | Closed |
| 98 | GLM-4.7Z.AI | 68.63% | Not reported | Open |
| 99 | Mistral Medium 3.5Mistral AIhigh reasoning | 67.73% | Not reported | Unknown |
| 100 | Gemini 2.5 Flash Lite Preview 09 2025 ThinkingGoogle | 66.88% | Not reported | Unknown |
| 101 | Laguna M.1Poolside | 65.91% | Not reported | Closed |
| 102 | Gemini 3.1 Flash Lite PreviewGooglehigh reasoning | 63.90% | Not reported | Unknown |
| 103 | Grok 4.20 0309 ReasoningxAI | 63.41% | Not reported | Unknown |
| 104 | Laguna XS.2Poolside | 61.43% | Not reported | Open |
| 105 | Command A Plus 05 2026Cohere | 55.68% | Not reported | Unknown |
| 106 | Mercury 2.5Inceptionhigh reasoning | 55.09% | Not reported | Closed |
| 107 | Llama4 Maverick Instruct BasicFireworks AI | 54.22% | Not reported | Unknown |
| 108 | Meta Llama Llama 4 Scout 17B 16E InstructTogether AI | 50.59% | Not reported | Unknown |
| 109 | Nemotron Lightning 3p5 30b A3bFireworks AI | 4.27% | Not reported | Unknown |
How MedScribe is shown here
BenchLM mirrors the public Vals AI MedScribe leaderboard captured from https://www.vals.ai/benchmarks/medscribe and updated by Vals on October 29, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
MedScribe is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Snapshot
The published MedScribe snapshot places Claude Opus 5.5 first at 91.43%. The third row is 0.33 points behind. The broader top-10 range is 2.54 points, so many of the published results sit in a relatively narrow band.
109 models have been evaluated on MedScribe. The benchmark falls in the Knowledge category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. MedScribe is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About MedScribe
Year
2026
Tasks
Medical administrative support tasks
Format
Accuracy score
Difficulty
Professional healthcare administration
BenchLM mirrors the public Vals MedScribe leaderboard as display-only healthcare evidence.
Freshness and provenance
Version
MedScribe 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does MedScribe measure?
Vals AI healthcare benchmark for whether models can support doctors with administrative work.
Which model leads the published MedScribe snapshot?
Claude Opus 5.5 currently leads the published MedScribe snapshot with 91.43% medscribe score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on MedScribe?
The October 29, 2026 snapshot contains 109 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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