Google: Gemini 3 Pro Preview
by google
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, see our docs here: https://openrou...
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Benchmarking Google: Gemini 3 Pro Preview
Coding Performance
Coding benchmarks and performance metrics for development tasks
Coding Benchmarks
| Benchmark | Score |
|---|---|
| AA Coding Index | 46.5% |
| LiveCodeBench | 91.7% |
| SciCode | 56.1% |
| TerminalBench Hard | 41.7% |
| LCR | 70.7% |
| IFBench | 70.4% |
Speed & Efficiency
| Metric | Value |
|---|---|
| Output Speed | 141 tok/s |
Performance metrics from Artificial Analysis
OpenClaw Benchmarks
PinchBench measures how Google: Gemini 3 Pro Preview performs on real OpenClaw agent tasks: multi-step execution, tool use, recovery, latency, and cost.
Average score
#5 of 50 official models
Average time
9 runs · per OpenClaw task
Average cost
Per benchmark run
Category breakdown
Best verified PinchBench v2 run by OpenClaw task family.
Top task results
Highest-scoring benchmark tasks from the same submission.
Autonomous task execution
Google: Gemini 3 Pro Preview shows strong average success across OpenClaw-style benchmark runs, useful for recurring research, browser, and file-based automations.
Tool use and recovery
PinchBench tasks stress multi-step planning, tool calls, and judge-verified completion rather than single prompt coding snippets.
Agent workflow fit
Its deliberate average runtime and premium run cost help set expectations for long-running KiloClaw agents and production workflows.
Agentic benchmarks from the PinchBench Leaderboard
Real-World Usage
Real-world usage statistics from the Kilo Code community
Weekly Token Usage
Mode Rankings (Last Week)
Where this model ranks for each built-in mode
Code
Write, modify, and refactor code
Ask
Get answers and explanations
Debug
Diagnose and fix software issues
Orchestrator
Coordinate tasks across multiple modes
Real-world metrics from the Kilo Code Leaderboard
Pricing
Cost per 1 million tokens
Example Cost
Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.2000
Coding Capabilities
Features and parameters relevant to coding tasks
Coding Features
Pricing details from OpenRouter
Technical Details
Architecture and implementation specifications
- Model ID
- google/gemini-3-pro-preview
- Artificial Analysis Slug
- gemini-3-pro
- Created
- November 18, 2025
- Tokenizer
- Gemini
- Input Modalities
- text, image, file, audio, video
- Context Window
- 1,048,576 tokens
- Max Completion Tokens
- 65,536 tokens
- Input Price
- $2.00 per 1M tokens
- Output Price
- $12.00 per 1M tokens
- Cache Read Price
- $0.20 per 1M tokens
- Cache Write Price
- $0.38 per 1M tokens
- Content Moderation
- Disabled
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