Google: Gemini 3 Pro Preview

Google: Gemini 3 Pro Preview

google · Released Nov 18, 2025 Professional
Intelligence #10 / 565
82.0 Our Score
Speed #85 / 266
128.4 tokens / sec
Input #478 / 571
$2.00 per 1M tokens
Output #510 / 571
$12.00 per 1M tokens
Context #17 / 571
1M tokens

Analysis Summary

Google: Gemini 3 Pro Preview is Google’s model in the Gemini 3 family. It was released in November 2025. We place it in the Professional tier, where it sits at #10 of 565 models overall. For raw reasoning ability it ranks #58 of 374, putting it in the top quartile for overall intelligence.

Google: Gemini 3 Pro Preview is particularly strong at software work, placing #43 of 311 for coding. It also ranks #84 of 286 for agentic, multi-step tasks — the autonomous, tool-driven workflows that underpin business automation. Its 1M-token context window is larger than 97% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, Google: Gemini 3 Pro Preview combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.

At $2.00 input and $12.00 output per 1M tokens, Google: Gemini 3 Pro Preview is premium priced. Google: Gemini 3 Pro Preview is a dependable pick for businesses that need strong, well-rounded performance without paying frontier prices.

Editorial notes

Gemini 3 Pro Preview from Google delivers strong reasoning and coding with multimodal input across text, image, audio, video, and file formats, plus a 1M token context window for large-scale tasks.

Assessed May 31, 2026

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence6.4Technical6.6Value6.8Content6.7
Intelligence 6.4/10
Technical 6.6/10
Content 6.7/10
Value 6.8/10

How Google: Gemini 3 Pro Preview compares

Google: Gemini 3 Pro Preview ranks #58 of 374 AI models we track for overall intelligence, #43 of 311 for coding, #84 of 286 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 16% of comparable models.

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.

Capabilities

Tool Use Function Calling Vision

Performance Indices

Source: Artificial Analysis

41.3 Intelligence Index
39.4 Coding Index
51.1 Agentic Index
86.7 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 88.7% Graduate-level scientific reasoning
HLE 27.6% Humanity's Last Exam
MMLU Pro 89.5% Multi-task language understanding
AIME 2025 86.7% Competition mathematics (2025)
SciCode 49.9% Scientific computing

Technical

LiveCodeBench 85.7% Live coding evaluation
TerminalBench Hard 34.1% Agentic terminal tasks
τ²-Bench 68.1% Conversational agent benchmark

Content

IFBench 49.7% Instruction following
LCR 67.3% Long-context reasoning

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.

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Model Information

OpenRouter ID google/gemini-3-pro-preview
Providergoogle
Model FamilyGemini 3
Release Date November 18, 2025
Context Length1,048,576 tokens
Max Completion65,536 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $2.00 $0.002000
Output $12.00 $0.012000

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).

Is Google: Gemini 3 Pro Preview good for coding?

On our coding benchmark index, Google: Gemini 3 Pro Preview ranks #43 of 311 models, placing it in the top quartile of the field for code generation and debugging.

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.