Gemini 3 Flash
Released 17 Dec 2025$0.5 input, $3 output per million tokens1M contextproprietaryAlso written as Gemini 3 Flash (12/25), Gemini 3 Flash Preview
3 results on 3 of 13 boards, latest measured Sep 2026. Compare with other models
Results
Each line sits on its own board's scale. Tall tick: the board leader.
Documentation and coding
- MedScribe (Vals AI)model ID google/gemini-3-flash-preview; temperature=1; max_output_tokens=30000; reasoning_effort=high69.92Rank 91 of 105Leader Claude Opus 5.5 91.43
- 55.92Rank 4 of 103Leader Claude Opus 5 63.57
EHR and workflow agents
- 12.5Rank 28 of 43 here, 45 models on the boardLeader erius + claude-opus-5 54.7
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)69.9269.9×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID google/gemini-3-flash-preview; temperature=1; max_output_tokens=30000; reasoning_effort=high
- MedCode (Vals AI)55.9255.9×0.911
- Weighted average of 2 boards
- 58.9
- Multiplier for 2 of 10 boards
- × 0.577
- Index
- 58.9 × 0.577 = 34.0
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
91MedScribe (Vals AI) gemini-3-flash-preview 69.92
Printed as 69.92%Official leaderboard, measured Sep 2026Configuration: model ID google/gemini-3-flash-preview; temperature=1; max_output_tokens=30000; reasoning_effort=highVals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 91 of 105 (Gemini 3 Flash (12/25)), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["google/gemini-3-flash-preview"].91 | Gemini 3 Flash (12/25) | 69.92%±1.90 | $0.5/$3 | 23.49s
Every result from this document4MedCode (Vals AI) 55.92
Printed as 55.92%Official leaderboard, measured Sep 2026Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 4 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["google/gemini-3-flash-preview"].4 | Gemini 3 Flash (12/25) | 55.92%±2.11 | $0.5/$3 | 44.15s
Every result from this document28CHI-Bench All Domains pass@1 12.5
Printed as 12.5%Official leaderboard, measured Apr 2026Configuration: All Domains pass@1; gemini-cli harnessCHI-Bench leaderboard (actAVA) official leaderboard, actAVA, 12 Aug 2026. CHI-Bench v1.0.0, All Domains, rank 28, Agent/Model and Accuracy columns; PA/UM/CM follow; board last updated 2026-08-12; board Date column 2026-05-01; accessed 2026-09-30. Linked submission provenance: run 2026-04-30T09:24:38Z to 2026-04-30T20:11:40Z; submitted_at 2026-04-30T20:11:40Z.28 | gemini-cli | gemini-3-flash | Proprietary | 12.5% | 18.7% | 18.7% | 0.0% | 2026-05-01
Every result from this document- A different number in CHI-Bench submission manifest: gemini-cli + google/gemini-3-flash-preview, results.overall.pass_at_1 for submission.model google/gemini-3-flash-preview; fraction scale (not percent); retrieved 2026-09-30
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 3.6 Flash, Gemini 3.7 Flash, Gemini 3.8 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