Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
Tested on 17 benchmarks · BenchGecko score 58.6. Top scores: GPQA diamond (96.0%), OTIS Mock AIME 2024-2025 (94.2%), Dtbench (92.5%).
DeepSeek V4 Flash 0731 scores 58.9 (101% as good) at $0.04/1M input · 94% cheaper
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.
ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
- Typemultimodal
- Context1.0M tokens (~524 books)
- ReleasedJul 2026
- LicenseProprietary
- StatusActive
- Cost / Message~$0.005
Frequently Asked Questions
Key facts · as of 2026-11-11
- Gemini 3.6 Flash by Google DeepMind. BenchGecko score 58.6, rank 99 of 326 scored models (normalized average of public benchmark scores).
- List price $0.75 input · $3.75 output per 1M tokens (as of 2026-11-11).
- Sold by 7 providers (as of 2026-11-11): Google $0.38 in / $1.88 out · Google AI Studio $0.38 in / $1.88 out · Google $0.75 in / $3.75 out · Google AI Studio $0.75 in / $3.75 out · Google $0.82 in / $4.13 out · and 2 more. Every provider
- Gecko Tests · Gecko Score 57 (rank 17): Who Are You B (Knows who made it) · Censorship Index C (Answers almost everything) · Knowledge Horizon D (Knows news up to Jul 2025) · Tokenizer Tax B (44% more tokens outside English).
How to cite · data as of 2026-11-11
Gemini 3.6 Flash · benchmarks, pricing and providers. BenchGecko, data as of 2026-11-11. https://benchgecko.ai/model/gemini-3-6-flash
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP