Google: Gemini 3 Pro Preview
Analysis Summary
Gemini 3 Pro Preview is Google's earlier Pro-tier model with a 1M token context window and broad multimodal support covering text, images, files, audio, and video. Its intelligence and coding benchmarks are competitive, and the full suite of tool use, function calling, and vision makes it a versatile platform for business workflows.
The model suits long-document analysis, multimodal content processing, and coding assistance. The agentic index is moderate, so fully autonomous agent pipelines may benefit from a more recent model. Instruction-following scores are adequate but not leading, which is worth noting for precision-critical content tasks.
Pricing at $2 input and $12 output is on the higher side for its benchmark tier, and newer Google models have since surpassed it on most dimensions. Teams already in the Google ecosystem may find it useful, but those starting fresh should evaluate more recent Gemini releases first.
Assessed June 30, 2026
Editorial notes
Gemini 3 Pro Preview from Google pairs strong reasoning with multimodal capability across text, image, audio, and video, a 1M token context, and full tool use support.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Google: Gemini 3 Pro Preview compares
Google: Gemini 3 Pro Preview ranks #65 of 385 AI models we track for overall intelligence, #88 of 293 for agentic tasks. Its 1M-token context window is larger than 97% of the models we list. At $2.00 per million input tokens it is cheaper than 17% of comparable models.
About Google: Gemini 3 Pro Preview
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?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $12.00 | $0.012000 |
External Resources
Explore Related Models
Frequently asked questions about Google: Gemini 3 Pro Preview
How much does Google: Gemini 3 Pro Preview cost?
Google: Gemini 3 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens.
What is the context window of Google: Gemini 3 Pro Preview?
Google: Gemini 3 Pro Preview has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 3 Pro Preview do?
Google: Gemini 3 Pro Preview supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3 Pro Preview?
Google: Gemini 3 Pro Preview is developed by Google and was released on November 18, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 30, 2026 9:37 pm