Gemini 3 Pro by Google demonstrates top-tier general intelligence, solid coding performance, outstanding mathematical reasoning. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
General Benchmarks
Massive Multitask Language Understanding professional benchmark
HuggingFace LeaderboardCoding Benchmarks
Human preference ELO for building things — websites, UI, games, charts, SVG
Design Arena (via OpenRouter)Human preference ELO for building a working web page from a brief
Design Arena (via OpenRouter)Math Benchmarks
Reasoning Benchmarks
Speed Benchmarks
Cost Benchmarks
Context Benchmarks
Available from 8 providers
The same model costs different amounts depending on who serves it.
| Provider | Input / 1M | Output / 1M | Cached in | Context | Your key |
|---|---|---|---|---|---|
| QiHang | $0.57 | $3.43 | — | 1.0M | — |
| Poe | $1.6 | $9.6 | $0.16 | 1.0M | — |
| Jiekou.AI | $1.8 | $10.8 | — | 1.0M | — |
| 302.AI | $2 | $12 | — | 1.0M | — |
| Databricks | $2 | $12 | $0.2 | 1.0M | — |
| Merge Gateway | $2 | $12 | $0.2 | 1.0M | — |
| OpenCode Zen | $2 | $12 | $0.2 | 1.0M | — |
| AnyAPI | — | — | — | 1.0M | — |
Gemini 3 Pro — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
Compare Gemini 3 Pro With
Gemini 3 Pro — Frequently Asked Questions
How intelligent is Gemini 3 Pro?
Gemini 3 Pro scores 1492 on the Chatbot Arena ELO rating, making it one of the top-ranked AI model. This score is based on blind head-to-head human preference voting.
How much does Gemini 3 Pro cost?
Gemini 3 Pro costs $2.0 per 1M input tokens and $12.0 per 1M output tokens. This is mid-range pricing for its capability level.
How fast is Gemini 3 Pro?
Gemini 3 Pro generates output at 60 tokens per second, which is slower, prioritizing quality over speed compared to other models. The time to first token is 450 ms.
How good is Gemini 3 Pro at coding?
Gemini 3 Pro achieves 65.0% on SWE-bench Verified, demonstrating strong real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.
How good is Gemini 3 Pro at math and reasoning?
Gemini 3 Pro scores 92.0% on the MATH benchmark (competition-level mathematics). It also achieves 91.9% on GPQA Diamond, a graduate-level science reasoning benchmark.
What is the context window of Gemini 3 Pro?
Gemini 3 Pro has a context window of 1.0M tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Gemini 3 Pro?
Gemini 3 Pro was created by Google. It is classified as a flagship model in our catalogue.
Is Gemini 3 Pro open source?
No, Gemini 3 Pro is a proprietary model. It is available through Google's API and compatible providers.