Google: Gemini 3 Pro Preview
Analysis Summary
Google: Gemini 3 Pro Preview sits in the Professional tier on our leaderboard, ranked #31 of 525 published models on overall intelligence. At $2.00 input and $12.00 output per 1M tokens, it is among the most expensive on the market. It offers an exceptionally large context window suited to long-document workflows and supports tool use, function calling, vision, and reasoning.
Editorial notes
Google's Gemini 3 Pro Preview is a highly versatile multimodal model supporting text, image, audio, video, and file inputs with strong reasoning and a massive 1M token context window ā well-suited for businesses needing broad modality coverage and deep document understanding.
Assessed April 23, 2026
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Performance Profile
Gemini 3 Pro is Googleās flagship frontier model for high-precision multimodal reasoning, combining strong performance across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling It delivers state-of-the-art benchmark results in general reasoning, STEM problem solving, factual QA, and multimodal understanding, including leading scores on LMArena, GPQA Diamond, MathArena Apex, MMMU-Pro, and Video-MMMU. Interactions emphasize depth and interpretability: the model is designed to infer intent with minimal prompting and produce direct, insight-focused responses. Built for advanced development and agentic workflows, Gemini 3 Pro provides robust tool-calling, long-horizon planning stability, and strong zero-shot generation for complex UI, visualization, and coding tasks. It excels at agentic coding (SWE-Bench Verified, Terminal-Bench 2.0), multimodal analysis, and structured long-form tasks such as research synthesis, planning, and interactive learning experiences. Suitable applications include autonomous agents, coding assistants, multimodal analytics, scientific reasoning, and high-context information processing.
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemini 3 Pro Preview stack up?
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Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $12.00 | $0.012000 |
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 25, 2026 8:38 pm