Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
Tested on 12 benchmarks · BenchGecko score 32.5. Top scores: HELM — WildBench (81.8%), HELM — IFEval (81.0%), HELM — MMLU-Pro (53.7%).
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
Stanford HELM WildBench evaluation. Tests reasoning on challenging real-world tasks.
Stanford HELM evaluation of mathematical reasoning across diverse problem types.
- Typemultimodal
- Context1.0M tokens (~524 books)
- ReleasedJul 2025
- LicenseProprietary
- StatusActive
- Cost / Message~$0.001
Frequently Asked Questions
Key facts · as of 2026-10-05
- Gemini 2.5 Flash Lite by Google DeepMind. BenchGecko score 32.5, rank 235 of 312 scored models (normalized average of public benchmark scores).
- List price $0.10 input · $0.40 output per 1M tokens (as of 2026-10-05).
- Sold by 5 providers (as of 2026-10-05): Google AI Studio $0.0500 in / $0.20 out · Google $0.10 in / $0.40 out · Google $0.10 in / $0.40 out · Google AI Studio $0.10 in / $0.40 out · Google AI Studio $0.18 in / $0.72 out. Every provider
How to cite · data as of 2026-10-05
Gemini 2.5 Flash Lite · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gemini-2-5-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