Google: gemini-3-pro
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://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks. 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.
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性能
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支持的参数
所有提供方:为该模型提供服务的每个上游都支持。部分提供方:取决于处理请求的上游。默认值:未设置时发送的值。
| 参数 | 提供方 | 默认值 |
|---|---|---|
| include_reasoning | 所有提供方 | - |
| max_tokens | 所有提供方 | - |
| reasoning | 所有提供方 | - |
| response_format | 所有提供方 | - |
| seed | 所有提供方 | - |
| stop | 所有提供方 | - |
| structured_outputs | 所有提供方 | - |
| temperature | 所有提供方 | - |
| tool_choice | 所有提供方 | - |
| tools | 所有提供方 | - |
| top_p | 所有提供方 | - |