Gemini 3.5 Flash Lite
Google's mid-tier model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
Gemini 3.5 Flash Lite is optimized for high-complexity logic and structured data tasks at a low price point. It achieves perfect internal scores in strategic analysis, creative problem solving, and structured output, making it an efficient choice for developers who need precise formatting and advanced reasoning without the cost of a frontier model.
The model provides a massive 1.0M token context window for a blended cost of $1.95 per million tokens. This combination allows for the processing of extensive datasets or long-form documents while maintaining a low financial overhead, positioning it as a high-value option for long-context applications.
A critical failure point is safety calibration, where it scored 1/5. This indicates a significant lack of built-in guardrails, meaning developers must implement their own robust filtering and safety layers to prevent undesirable outputs.
Use this model if you need a low-cost, high-reasoning engine for structured data extraction, agentic planning, or multilingual tasks. Skip this model if your application requires native safety alignment or strict adherence to safety constraints.
Strengths — Top 3
Relative weaknesses — Bottom 3
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