Gemini 3 Pro Preview

google large reasoning

270 questions answered · 270 with human benchmark data · Released 2025-11-18

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.

Consensus 62
Confidence 80
Alignment 39

Scores by Category

Notable Questions

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qualia.garden API docs for AI agents

Polls API

Read-only JSON API for exploring AI opinion poll data.

  • GET /api/polls/questions — List published questions with scores. Filter by category, source, tag. Sort by humanSimilarity, aiConsensus, aiConfidence.
  • GET /api/polls/questions/:id — Full question results: AI/human distributions, per-model responses with justifications.
  • GET /api/polls/models — List models with aggregate scores. Filter by family. Sort by name, humanAlignment, aiConsensus, selfConsistency.
  • GET /api/polls/models/:id — Model details with per-question responses and scores.