Gemini 3.1 Pro Preview
Google's mid-tier model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
Gemini 3.1 Pro Preview is built for high-complexity reasoning and massive data ingestion, distinguished by a 1.0M token context window and an AIME 2025 score of 95.6%. It excels in strategic analysis, agentic planning, and creative problem solving, consistently hitting the top of internal benchmarks for faithfulness and tabular data processing.
The model is highly reliable for developers requiring strict adherence to formats, scoring a 5/5 in structured output. This capability, paired with its multilingual proficiency, makes it a strong candidate for complex, multi-step workflows. However, it struggles with basic classification and safety calibration, both scoring 2/5, indicating a potential lack of precision in simple labeling tasks and a loose approach to safety guardrails.
At a blended cost of $9.50/MTok, this model sits in a premium price tier. While the input cost is moderate at $2.00/MTok, the $12.00/MTok output cost makes it expensive for high-volume generative tasks. The price is justified for long-context analysis and high-reasoning requirements, but it is inefficient for simple API calls.
Use this model if you need to process massive datasets, generate precise structured data, or solve complex mathematical and strategic problems. Skip this model if your primary use case is simple text classification or if you require strict safety filtering.
Strengths — Top 3
Relative weaknesses — Bottom 3
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