Skip to main content

Benchmark profile

Vals MedScribe (MedScribe)

Vals AI healthcare benchmark for whether models can support doctors with administrative work.

Data verified

How BenchLM shows MedScribe

BenchLM mirrors the public Vals AI MedScribe leaderboard captured from https://www.vals.ai/benchmarks/medscribe and updated by Vals on July 17, 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.

72 Vals rows1 task viewsprivate datasetTasks: OverallDisplay only

MedScribe score on MedScribe — July 17, 2026

BenchLM mirrors the published medscribe score view for MedScribe. Muse Spark 1 1 leads the public snapshot at 88.89% , followed by Claude Fable 5 (88.52%) and GPT-5.1 (88.09%). BenchLM does not use these results to rank models overall.

72 modelsExternal benchmark mirrorsCurrentDisplay onlyUpdated July 17, 2026

MedScribe score table (72 models)

Score
1
88.89%
2
88.52%
3
GPT-5.1OpenAI
88.09%
4
Kimi K3Moonshot AI
87.96%
5
MiniMax M3MiniMax
87.25%
6
Grok 4.5SpaceXAI
86.88%
7
GPT-5.5OpenAI
86.87%
8
86.74%
9
86.13%
10
85.90%
11
85.75%
12
InklingThinkingmachines
85.41%
14
85.23%
16
84.52%
17
84.39%
18
GPT-5.2OpenAI
84.39%
20
83.73%
21
GPT-5OpenAI
83.65%
22
GLM 5.2Zhipu AI
83.53%
23
83.25%
25
82.95%
26
82.87%
27
82.87%
28
81.63%
29
80.78%
30
80.58%
31
79.87%
33
79.40%
34
78.73%
36
Grok 4 0709SpaceXAI
78.15%
37
Kimi K2.6Moonshot AI
78.15%
39
GPT-5.4OpenAI
77.55%
41
77.13%
42
77.09%
43
76.96%
44
O3OpenAI
76.65%
45
76.57%
46
76.44%
48
76.05%
50
75.14%
51
Grok 4.3SpaceXAI
74.40%
53
73.55%
54
72.86%
55
72.83%
56
Qwen3 MaxAlibaba
72.71%
57
72.41%
58
GLM 5.1Zhipu AI
72.27%
59
Mimo V2.5Xiaomi
72.15%
60
72.04%
61
71.75%
62
70.62%
65
O4 MiniOpenAI
69.14%
66
GLM 4.7Zhipu AI
68.63%
67
67.73%
70
63.41%
71
54.22%

The published MedScribe snapshot places Muse Spark 1 1 first at 88.89%. The third row is 0.80 points behind. The broader top-10 range is 2.99 points, so many of the published results sit in a relatively narrow band.

72 models have been evaluated on MedScribe. The benchmark falls in the External benchmark mirrors 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.

BenchLM freshness & provenance

Version

MedScribe 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.

FAQ

What does MedScribe measure?

Vals AI healthcare benchmark for whether models can support doctors with administrative work.

Which model leads the published MedScribe snapshot?

Muse Spark 1 1 currently leads the published MedScribe snapshot with 88.89% medscribe score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on MedScribe?

72 AI models are included in BenchLM's mirrored MedScribe snapshot, based on the public leaderboard captured on July 17, 2026.

Last updated: July 17, 2026 · mirrored from the public benchmark leaderboard

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.