Gemini 3 Pro
Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.
Updated
Quick facts
- Released
- Dec 2025
- Context
- 1.0M tokens
- Output / 1M
- Pricing not published
- License
- Proprietary
About Gemini 3 Pro
Gemini 3 Pro shipped in December 2025 as Google's biggest model-quality leap in two years. It leads or ties most public benchmarks at launch and pairs that with Google's signature long-context advantage, 1M tokens standard with 2M token previews.
For RAG, vision, and document-AI workloads, Gemini 3 Pro is the strongest single model on the market. For agents and tool-use, it's competitive with GPT-5.5 and Claude Opus 4.7. Google's Vertex AI and AI Studio surfaces both ship it.
Benchmarks
Published scores from Google's model card or independent leaderboards. We do not publish numbers we cannot source, see methodology.
- MMLU91.8
- HumanEval95.4
- GPQA91.9
Capabilities
Strengths
- Massive 1M-token context window
- State-of-the-art vision and document understanding
- Strong reasoning at competitive price
- Native multimodal (text, image, audio, video)
Tracked weaknesses
- Tool-use ergonomics still lag OpenAI / Anthropic in some setups
- Latency can be high at very long contexts
Pricing
Per-million-token rates as published by Google.
Call Gemini 3 Pro from your code
Drop-in snippet for the Google SDK. Set your API key in the environment and run.
import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-3-pro" });
const result = await model.generateContent(
"What's the time complexity of quicksort?",
);
console.log(result.response.text());Best for
Tasks where Gemini 3 Pro ranks among LLMDex's top picks.
- Best LLM for CodingDevelopers searching for the most capable model to write, edit, or refactor code in real codebases.See ranking
- Best LLM for Code ReviewEngineers automating PR review, catching bugs, security issues, or style regressions before merge.See ranking
- Best LLM for PythonPython-specific coding tasks: scripts, data work, ML pipelines, scientific computing.See ranking
Compare Gemini 3 Pro with…
Frequently asked
How much does Gemini 3 Pro cost?
Google has not published per-token API pricing for Gemini 3 Pro at the time of writing. Check the official site for current pricing tiers, or compare against alternative models on LLMDex.What is Gemini 3 Pro's context window?
Gemini 3 Pro supports a context window of 1.0M tokens with up to 65.5K output tokens per response.Is Gemini 3 Pro open source?
No. Gemini 3 Pro is a closed-weight model, you can use it via Google's API but the model weights are not publicly downloadable.When was Gemini 3 Pro released?
Gemini 3 Pro was released on Dec 9, 2025 by Google.What is Gemini 3 Pro's knowledge cutoff?
Gemini 3 Pro's training data has a knowledge cutoff of Jan 2025. For information after that date you'll need a tool-use or web-search wrapper.
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