Clinical Benchmarks
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Gemini 2.5 Flash Lite

Released 22 Jul 2025$0.1 input, $0.4 output per million tokens1M contextproprietaryAlso written as Gemini 2.5 Flash Lite (9/25) (Thinking), gemini-2.5-flash-lite-9-25, google/gemini-2.5-flash-lite-preview-09-2025-thinking, gemini-2.5-flash-lite-preview-09-2025-thinking, Gemini 2.5 Flash Lite (Nonthinking), google/gemini-2.5-flash-lite, Gemini 2.5 Flash Lite (9/25) (Nonthinking), google/gemini-2.5-flash-lite-preview-09-2025, gemini-2.5-flash-lite-preview-09-2025

4 results on 2 of 13 boards, latest measured Sep 2026. Compare with other models

Clinical Benchmarks Index21.7Rank 109 of 1492 of 10 boardsAverage × multiplier 37.6 × 0.577 = 21.7This 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

  1. MedScribe (Vals AI)
    model ID google/gemini-2.5-flash-lite-preview-09-2025; temperature=1; max_output_tokens=30000
    75.82
    Rank 75 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedScribe (Vals AI)
    model ID google/gemini-2.5-flash-lite; temperature=1; max_output_tokens=30000
    72.83
    Rank 82 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  3. MedScribe (Vals AI)
    model ID google/gemini-2.5-flash-lite-preview-09-2025-thinking; temperature=1; max_output_tokens=30000
    66.88
    Rank 96 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  4. MedCode (Vals AI)
    model ID google/gemini-2.5-flash-lite; temperature=1; max_output_tokens=30000
    27.11
    Rank 98 of 103Leader Claude Opus 5 63.57
    Official leaderboard
    Measured Sep 2026

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)75.8275.8×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID google/gemini-2.5-flash-lite-preview-09-2025; temperature=1; max_output_tokens=30000
  • MedCode (Vals AI)27.1127.1×0.911model ID google/gemini-2.5-flash-lite; temperature=1; max_output_tokens=30000
Weighted average of 2 boards
37.6
Multiplier for 2 of 10 boards
× 0.577
Index
37.6 × 0.577 = 21.7

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 4 results
  1. 75MedScribe (Vals AI) gemini-2.5-flash-lite-preview-09-2025 75.82
    Printed as 75.82%Official leaderboard, measured Sep 2026Configuration: model ID google/gemini-2.5-flash-lite-preview-09-2025; temperature=1; max_output_tokens=30000
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 75 of 105 (Gemini 2.5 Flash Lite (9/25) (Nonthinking)), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["google/gemini-2.5-flash-lite-preview-09-2025"].
    75 | Gemini 2.5 Flash Lite (9/25) (Nonthinking) | 75.82%±1.85 | $0.1/$0.4 | 4.49s
    Every result from this document
  2. 82MedScribe (Vals AI) gemini-2.5-flash-lite 72.83
    Printed as 72.83%Official leaderboard, measured Sep 2026Configuration: model ID google/gemini-2.5-flash-lite; temperature=1; max_output_tokens=30000
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 82 of 105 (Gemini 2.5 Flash Lite (Nonthinking)), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["google/gemini-2.5-flash-lite"].
    82 | Gemini 2.5 Flash Lite (Nonthinking) | 72.83%±1.98 | $0.1/$0.4 | 4.85s
    Every result from this document
  3. 96MedScribe (Vals AI) gemini-2.5-flash-lite-preview-09-2025-thinking 66.88
    Printed as 66.88%Official leaderboard, measured Sep 2026Configuration: model ID google/gemini-2.5-flash-lite-preview-09-2025-thinking; temperature=1; max_output_tokens=30000
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 96 of 105 (Gemini 2.5 Flash Lite (9/25) (Thinking)), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["google/gemini-2.5-flash-lite-preview-09-2025-thinking"].
    96 | Gemini 2.5 Flash Lite (9/25) (Thinking) | 66.88%±1.92 | $0.1/$0.4 | 11.52s
    Every result from this document
  4. 98MedCode (Vals AI) gemini-2.5-flash-lite 27.11
    Printed as 27.11%Official leaderboard, measured Sep 2026Configuration: model ID google/gemini-2.5-flash-lite; temperature=1; max_output_tokens=30000
    Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 98 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["google/gemini-2.5-flash-lite"].
    98 | Gemini 2.5 Flash Lite (Nonthinking) | 27.11%±1.84 | $0.1/$0.4 | 5.75s
    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 (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 3.6 Flash, 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