Top 5 LLM

よくある質問

• What is the #1 in LLM right now?

  GPT-5.6: あなたの野望に合わせてスケールする最前線のインテリジェンス currently holds the #1 spot, with a ToolRank score of 24/100 — measured across real-world prominence, web traction, audience, authority and adoption.

• How are these rankings calculated?

  Rankings are computed by ToolRank, ToolPotion’s proprietary engine. It evaluates hundreds of signals across the open web — traffic, audience, community, authority, adoption and engagement — processing millions of data points, with a model tailored to each AI type. Placement cannot be bought.

• What is ToolRank?

  ToolRank is a single 0–100 score that blends a tool’s real-world prominence — whether it’s a genuine, widely-used product — with its measured traction: web traffic, domain authority, social audience, developer adoption and engagement, each ranked against its peers. Every board is ordered by ToolRank, and placement cannot be bought.

• How often do the rankings update?

  ToolRank re-measures the market and refreshes every leaderboard monthly. Movement arrows show each tool’s change since the previous measurement.

• What are the top open-weight LLMs on this board?

  DeepSeek leads on the open side, with R1 for reasoning and the V3-0324 release improving tool use. Qwen3.5 from Alibaba Cloud is multimodal, and OpenAI's gpt-oss ships two open-weight models, gpt-oss-120b and gpt-oss-20b, for efficient deployment.

• How do I serve large language models efficiently?

  vLLM is a high-throughput, memory-efficient inference and serving engine built for LLMs. SGLang is a performance-focused serving framework that also handles multimodal models. Both are the tools to reach for once you're serving many requests rather than testing one.

• Should I use an open model or a commercial API?

  It depends on control versus convenience. Open models like DeepSeek, Qwen3.5, or gpt-oss let you self-host and manage costs. A commercial option like OpenAI's GPT line skips the infrastructure and gives you a managed API to build on directly.