Jiekou.AI
gemini-3-pro-preview by Jiekou.AI, released on Jan 1, 2026. Compare capabilities, pricing, limits, providers, and latest news on Sulat.
Model details
Gemini 3 Pro Preview represents Google's flagship frontier model engineered for high-precision multimodal reasoning across text, images, video, audio, and code. The model combines strong performance across these diverse modalities with a massive context window, making it particularly suited for complex analytical tasks that require understanding and synthesizing information from multiple sources simultaneously. It is designed to infer user intent with minimal prompting, delivering direct, insight-focused responses that emphasize depth and interpretability rather than verbose elaboration. The architecture supports robust tool-calling capabilities and long-horizon planning stability, positioning it as a foundation for advanced development workflows and agentic applications that demand reliable multi-step reasoning.
The model builds on its lineage with measurable improvements in multi-step function calling, complex image reasoning, long-document analysis, and instruction following compared to its predecessor. It achieves leading benchmark scores on general reasoning, STEM problem solving, factual QA, and multimodal understanding, including top positions on LMArena, GPQA Diamond, MathArena Apex, MMMU-Pro, and Video-MMMU. For coding tasks specifically, it demonstrates strong zero-shot generation capabilities validated through SWE-Bench Verified and Terminal-Bench 2.0 benchmarks. These capabilities make it well-suited for autonomous agents, coding assistants, scientific reasoning, research synthesis, and interactive learning experiences, where structured long-form output and planning stability are essential.
Jiekou.AI
gemini-3-pro-preview by Jiekou.AI, released on Jan 1, 2026. Compare capabilities, pricing, limits, providers, and latest news on Sulat.
Jiekou.AI
gemini-3-pro-preview by Jiekou.AI. Model ID: gemini-3-pro-preview. Context window: 1048576 tokens. Input pricing: $1.80 per 1M tokens. Supports tool calling. Compare on whichllm.
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