Intelligence index
Outperforms 77% of compared models
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation of the Gemini 3 series, it combines high-precision reasoning 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. The 3.1 update introduces measurable gains in SWE benchmarks and real-world coding environments, along with stronger autonomous task execution in structured domains such as finance and spreadsheet-based workflows.
Designed for advanced development and agentic systems, Gemini 3.1 Pro Preview improves long-horizon stability and tool orchestration while increasing token efficiency. It introduces a new medium thinking level to better balance cost, speed, and performance. The model excels in agentic coding, structured planning, multimodal analysis, and workflow automation, making it well-suited for autonomous agents, financial modeling, spreadsheet automation, and high-context enterprise tasks.
Outperforms 77% of compared models
Outperforms 79% of compared models
Outperforms 38% of compared models
Elo scores and win rates across design and agent tasks.
1283Elo
Win rate 67.8%
1267Elo
Win rate 63.5%
1275Elo
Win rate 69.4%
1239Elo
Win rate 61.8%
1231Elo
Win rate 58.4%
1251Elo
Win rate 64.4%
1242Elo
Win rate 64.4%
1202Elo
Win rate 52.2%
1226Elo
Win rate 55.8%
1219Elo
Win rate 54.4%
1112Elo
Win rate 33.8%
1107Elo
Win rate 33.9%
1110Elo
Win rate 34.1%
1236Elo
Win rate 60%
1093Elo
Win rate 39.1%
1049Elo
Win rate 48.6%
1077Elo
Win rate 44%
1109Elo
Win rate 31.9%
1068Elo
Win rate 40.8%
1125Elo
Win rate 44.3%
1047Elo
Win rate 41.3%
1092Elo
Win rate 42.9%