Google: Gemini 3 Pro Preview

Google: Gemini 3 Pro Preview

google · Released Nov 18, 2025
Intelligence #34 / 650
72.0 our score
Speed #97 / 294
128.4 tok/s
Input Price #538 / 654
$2.00 per 1M tokens
Output Price #575 / 654
$12.00 per 1M tokens
Context #28 / 654
1M tokens

Analysis Summary

Gemini 3 Pro Preview is Google's earlier flagship reasoning model, combining a 1 million token context window with support for image, audio, video and file inputs. It posts strong results on coding benchmarks, graduate-level reasoning tests and agentic tool-use tasks, making it a capable all-rounder even as newer Gemini versions have since arrived.

Businesses can use it for long-document analysis, multimodal customer support, and agent workflows that call external tools. Its instruction-following is solid but not class-leading, and a newer Gemini generation now offers stronger raw reasoning.

Pricing at $2 input and $12 output per million tokens is mid-range for a model of this capability, suitable for teams that need multimodal breadth without paying frontier prices.

Assessed July 25, 2026

Editorial notes

Gemini 3 Pro Preview from Google delivers strong coding and agentic scores, a 1M token multimodal context, and on GPQA and MMLU Pro reasoning tests.

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 delivers strong coding and agentic scores, a 1M token multimodal context, and on GPQA and MMLU Pro reasoning tests.

#34 of 650 overall

Benchmark scores

GPQA Diamond 88.7%
HLE 27.6%
MMLU Pro 89.5%
AIME 2025 86.7%
SciCode 49.9%
LiveCodeBench 85.7%
TerminalBench Hard 34.1%
τ²-Bench 68.1%
IFBench 49.7%
LCR 67.3%

Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.

33.1 Intelligence Index·86.7 Math Index

How Google: Gemini 3 Pro Preview compares

Google: Gemini 3 Pro Preview ranks #80 of 398 AI models we track for overall intelligence. 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 18% of comparable models.

Position in the field
Intelligence: smarter than 95% of models #34
Speed: faster than 67% of models #97
Price: cheaper than 18% of models #538
Context: larger than 96% of models #28
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Google: Gemini 3 Pro Preview $2.00 in $12.00 out
Anthropic: Claude Fable 5 $10.00 in $50.00 out
Claude Opus 5 $5.00 in $25.00 out
Anthropic: Claude Opus 4.8 $5.00 in $25.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens
Google: Gemini 3 Pro Preview 1M

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence5.6Technical6.2Value6.8Content7.5
Performance profile

Strongest on content. 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 →

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?

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.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo Google: Gemini 3 Pro Preview

Full calculator with 654 models → Price Calculator

DFO AI AUTOMATION

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 team

About 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.

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