Clinical Benchmarks

Gemini 3.6 Flash

Released 21 Jul 2026$0.75 input, $3.75 output per million tokens1M contextproprietaryCompare with other models

Clinical Benchmarks Index
83.0rank 8 of 148; 83.0 × 1 = 83.0, from 3 of 10 boards
Boards
3 of 13
Results
3
Latest measurement
Sep 2026

Results

Each line is placed on its own board. Dark tick: the board leader.

Clinical reasoning and knowledge

  1. MAST (Medical AI Superintelligence Test)
    59.3
    Rank 3 of 8 here, 11 models on the boardLeader GPT-5.6 Sol 60.2
    Official leaderboard
    Measured Aug 2026

Documentation and coding

  1. MedScribe (Vals AI)
    model ID google/gemini-3.6-flash; temperature=1; max_output_tokens=30000; reasoning_effort=high
    79.66
    Rank 58 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    53.15
    Rank 10 of 103Leader Claude Opus 5 63.57
    Official leaderboard
    Measured Sep 2026

Sources

Open a line for the quote and page.

  1. 58MedScribe (Vals AI) model ID google/gemini-3.6-flash; temperature=1; max_output_tokens=30000; reaso… 79.66
    Printed as 79.66%Official leaderboard, measured Sep 2026Configuration: model ID google/gemini-3.6-flash; temperature=1; max_output_tokens=30000; reasoning_effort=high
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 58 of 105 (Gemini 3.6 Flash), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["google/gemini-3.6-flash"].
    58 | Gemini 3.6 Flash | 79.66%±1.86 | $1.5/$7.5 | 33.55s
    Every result from this document
  2. 10MedCode (Vals AI) 53.15
    Printed as 53.15%Official leaderboard, measured Sep 2026
    Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 10 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["google/gemini-3.6-flash"].
    10 | Gemini 3.6 Flash | 53.15%±2.16 | $1.5/$7.5 | 16.68s
    Every result from this document
  3. 3MAST (Medical AI Superintelligence Test) 59.3
    Printed as 59.3%Official leaderboard, measured Aug 2026
    MAST: Medical AI Superintelligence Test leaderboard (General board) official leaderboard, ARISE AI Research Network, 15 Aug 2026. arise-ai.org/mast, 'Which AI can you trust for medical questions?' General tab, composite score table (8 of 11 models shown; 'Last updated August 15, 2026')
    3 Gemini 3.6 Flash Google 59.3%
    Every result from this document

Other Google models: Gemini 2.0 Flash, Gemini 2.5 Flash, Gemini 2.5 Flash (7/17), Gemini 2.5 Flash Lite, Gemini 2.5 Flash Lite (9/25), Gemini 2.5 Flash Preview (9/25), Gemini 2.5 Pro, Gemini 3.1 Flash Lite Preview, Gemini 3.1 Pro, Gemini 3.5 Flash, Gemini 3.5 Flash Lite, Gemini 3.7 Flash, Gemini 3.8 Flash, Gemini 3 Flash, Gemini 3 Pro, Gemini 3 Pro (11/25), Gemma 3 12B, Gemma 3 27B, Gemma 4 12B, Gemma 4 26B A4B, Gemma 4 31B, Gemma 4 E2B, Gemma 4 E4B, MedGemma 27B Text, MedGemma 4B