Google: Gemini 3 Pro Preview
Analysis Summary
Gemini 3 Pro Preview is Google's broad-capability frontier model, combining a 1 million token context window with support for text, image, audio, video, and file inputs. Tool use and function calling are included, and coding benchmarks are strong with a livecodebench score of 0.857. The intelligence index of 33.1 sits in the good-to-strong range, and the agentic index of 51.1 supports multi-step workflows.
For businesses, the combination of long context, multimodal input, and agentic capability makes this a strong fit for document analysis, customer-facing automation, and complex content pipelines. Instruction following is moderate rather than leading, and the intelligence index trails the top-tier models by a meaningful margin, so it is better suited to breadth of use than the hardest reasoning tasks.
At $2 input and $12 output per million tokens, pricing is premium. Teams that need a single model to handle diverse input types across large documents will find strong value here, particularly where Google ecosystem integration is already in place.
Assessed July 10, 2026
Editorial notes
Gemini 3 Pro Preview from Google pairs a 1M token context with strong coding, multimodal input across text, image, audio, and video, tool use, and function calling, making it a capable all-round business model despite a mid-tier intelligence index.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 3 Pro Preview from Google pairs a 1M token context with strong coding, multimodal input across text, image, audio, and video, tool use, and function calling, making it a capable all-round business model despite a mid-tier intelligence index.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
33.1 Intelligence IndexĀ·51.1 Agentic IndexĀ·86.7 Math Index
How Google: Gemini 3 Pro Preview compares
Google: Gemini 3 Pro Preview ranks #76 of 393 AI models we track for overall intelligence, #74 of 300 for agentic tasks. Its 1M-token context window is larger than 96% of the models we list. At $2.00 per million input tokens it is cheaper than 17% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| 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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā 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 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.
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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.
