Google: Gemini 3 Pro Preview
Analysis Summary
Google Gemini 3 Pro Preview is a broad multimodal model supporting text, image, file, audio, and video inputs. Its million-token context window combines with strong supplied reasoning, coding, instruction-following, and tool-oriented results, giving teams a capable foundation for long documents, media analysis, software tasks, and structured automation.
It suits complex research, content production from mixed media, codebase analysis, and client workflows that need one model to handle several input types. The preview designation is the main operational consideration, so teams should validate response stability, API behaviour, and output controls before making it central to a production stack. Its instruction-following result is less dominant than its technical performance.
Pricing is reasonable for a high-capability multimodal model. Adopt it for demanding mixed-media workflows where context capacity and breadth outweigh the need for a fully established variant.
Assessed August 9, 2026
Editorial notes
Gemini 3 Pro Preview offers a million-token context, multimodal text, image, file, audio, and video input, plus strong reasoning, coding, and tool-use results. It is versatile for complex client workflows, with preview status requiring production validation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 3 Pro Preview offers a million-token context, multimodal text, image, file, audio, and video input, plus strong reasoning, coding, and tool-use results. It is versatile for complex client workflows, with preview status requiring production validation.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
40.6 Intelligence Index·86.7 Math Index
How Google: Gemini 3 Pro Preview compares
Google: Gemini 3 Pro Preview ranks #64 of 427 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $2.00 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $12.00 | $0.012000 |
What would Google: Gemini 3 Pro Preview cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 3 Pro Preview for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3 Pro Preview
Gemini 3 Pro is Google’s 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.
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.