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 optimized for high-complexity technical tasks and massive datasets, distinguished primarily by its 1.0M token context window and perfect internal scores in long context, tool calling, and structured output. Its performance on hard reasoning benchmarks is high, specifically scoring 92.8% on AIME 2025 and 83.2% on GPQA Diamond, indicating strong capabilities in mathematics and graduate-level science.
At a blended cost of $2.38/MTok, the model provides a high ratio of intelligence to price. It maintains a 5/5 internal rating across agentic planning, strategic analysis, and faithfulness, making it a cost-effective alternative to larger frontier models for autonomous workflows. However, it has a critical failure in safety calibration, scoring 1/5, which suggests a lack of robust guardrails.
The model is a strong fit for developers building complex agents, RAG pipelines with massive documents, or applications requiring strict JSON/structured outputs. Skip this model if your application requires high safety alignment or strict content filtering, as the safety calibration data indicates significant vulnerability.
Strengths — Top 3
Relative weaknesses — Bottom 3
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