Gemini 3 Flash Preview
Google's mid-tier model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
Gemini 3 Flash Preview is defined by its massive 1.0M token context window and high-tier performance across agentic planning, tool calling, and structured output. With a 75.4% score on SWE-bench Verified and 92.8% on AIME 2025, the model demonstrates technical reasoning and coding capabilities that exceed typical lightweight model expectations.
At a blended cost of $2.38 per million tokens, this model is positioned as a high-value option for complex automation. It maintains maximum internal scores (5/5) in strategic analysis, multilingual support, and faithfulness, making it a bargain for developers who need frontier-level reasoning without the cost of a flagship model.
The primary technical risk is a critical failure in safety calibration, which scored 1/5. This indicates a propensity for hallucinations or unsafe outputs that will require rigorous external guardrails or a robust system prompt to manage.
Use this model for long-context retrieval, autonomous agent workflows, and complex coding tasks. Skip this model if your application requires strict, out-of-the-box safety compliance or high-precision tabular data classification.
Strengths — Top 3
Relative weaknesses — Bottom 3
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