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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.
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Benchmarksjust now | 89 | 30% | +26.5 |
| Capabilitiesjust now | 83 | 20% | +16.7 |
| Recencyjust now | 100 | 15% | +15.0 |
| Context Windowjust now | 96 | 10% | +9.6 |
| Output Capacityjust now | 80 | 10% | +8.0 |
| Pricingjust now | 12 | 15% | +1.8 |
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Cost Estimator
$8.03/month more than category average
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