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 60.6. Top scores: OTIS Mock AIME 2024-2025 (94.2%), Dtbench (92.5%), GPQA diamond (92.2%).
gpt-oss-20b (free) scores 61.0 (101% as good) at $0.00/1M input · 100% 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 2026-10-05
- Gemini 3.6 Flash by Google DeepMind. BenchGecko score 60.6, rank 83 of 312 scored models (normalized average of public benchmark scores).
- List price $0.75 input · $3.75 output per 1M tokens (as of 2026-10-05).
- Sold by 7 providers (as of 2026-10-05): 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: Who Are You B (Knows who made it) · Tokenizer Tax B (44% more tokens outside English).
How to cite · data as of 2026-10-05
Gemini 3.6 Flash · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. 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