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Google: Gemini 3 Pro Preview

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google/gemini-3-pro-preview
Created Dec 13, 2025|1M context|$4.00/M input tokens|$18.00/M output tokens
Intel TDX

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.

Providers for Google: Gemini 3 Pro Preview

RedPill routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

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google
Input Price
$4.00
Output Price
$18.00
Total Context
1M

API

RedPill provides an OpenAI-compatible completion API to all models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

fetch("https://api.redpill.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR-REDPILL-API-KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "google/gemini-3-pro-preview",
    "messages": [
      {
        "role": "user",
        "content": "What is the meaning of life?"
      }
    ]
  })
})