Gemini 3.5 Flash Lite
Google's flagship model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
Gemini 3.5 Flash Lite is a high-efficiency model that prioritizes logic and structure over simple text generation. It ranks in the top 20% of 130 tested models, driven by perfect scores in strategic analysis, agentic planning, and structured output. This combination makes it an outlier in its price tier, offering advanced reasoning capabilities typically reserved for larger, more expensive models.
The model is highly cost-effective, with a blended cost of $1.95/MTok and a massive 1.0M token context window. While it maintains a high average internal score of 4.62/5.0, its relative weaknesses lie in classification and tool calling, where it scores a 4/5. These are still strong marks, but they indicate the model is better suited for complex synthesis and planning than for rigid categorization or heavy API orchestration.
Use this model if you need a low-cost solution for complex reasoning, multilingual tasks, or processing massive datasets within a million-token window. Skip this model if your primary requirement is high-precision classification or if you require a model with open weights for local deployment.
Strengths — Top 3
Relative weaknesses — Bottom 3
Similar models