Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...
Tested on 12 benchmarks · BenchGecko score 47.0. Top scores: OTIS Mock AIME 2024-2025 (80.0%), GPQA diamond (75.8%), Dtbench (61.3%).
gpt-oss-120b scores 46.7 (99% as good) at $0.04/1M input · 85% cheaper
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
Graduate-level science questions written by PhD experts. Diamond subset contains questions where experts disagree, testing deep understanding.
Tests ability to conduct in-depth research on complex topics, requiring synthesis of multiple sources.
Tactical chess puzzles testing pattern recognition and multi-move calculation. Measures strategic reasoning ability.
- Typemultimodal
- Context1.0M tokens (~524 books)
- ReleasedMay 2026
- LicenseProprietary
- StatusActive
- Cost / Message~$0.002
Frequently Asked Questions
Key facts · as of 2026-10-05
- Gemini 3.1 Flash Lite by Google DeepMind. BenchGecko score 47.0, rank 162 of 312 scored models (normalized average of public benchmark scores).
- List price $0.25 input · $1.50 output per 1M tokens (as of 2026-10-05).
How to cite · data as of 2026-10-05
Gemini 3.1 Flash Lite · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gemini-3-1-flash-lite
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