Top 5 LLMs
ToolRank
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DeepSeek's open-weight models and OpenAI's GPT line lead this board on capability, while vLLM and SGLang are the picks when the problem isn't the model but serving it fast at scale. — Editor's verdict
- # 1Top Pick
GPT-5.6: Frontier intelligence that scales with your ambitionGPT-5.6 is OpenAI's latest AI model, designed to enhance productivity and efficiency across various tasks. It offers improved performance per dollar, enabling users to achieve more with less, making it ideal for demanding workflows in coding, knowledge work, and cybersecurity.24ToolRankEmerging - # 2Runner Up
DeepSeek-V4-Pro — AI ModelDeepSeek-V4-Pro is an advanced AI model designed for efficient million-token context intelligence. It features a hybrid attention architecture and is pre-trained on over 32 trillion tokens, making it suitable for complex reasoning tasks and coding benchmarks.21ToolRankEmerging - # 3Third Place
BloombergGPTBloombergGPT is a large language model with 50 billion parameters, specifically tuned for finance-related tasks. It aims to enhance financial data processing and analysis, providing insights and predictions for professionals in the finance industry.20ToolRankEmerging
- 4
GLM-5.2 · Hugging FaceGLM-5.2 is an advanced AI model designed for long-horizon tasks, featuring a solid 1M-token context and enhanced coding capabilities. It is open-source and aims to democratize artificial intelligence through open science.18ToolRankNascent - 5GLM-4.5 by Zhipu AIGLM-4.5 is Zhipu AI's open-source large language model with 355B parameters, designed for agentic AI applications. It offers advanced capabilities with a Mixture-of-Experts architecture and is available for commercial use under the MIT license.13ToolRankNascent
Editor's round-up
The board covers both models and the plumbing that runs them. DeepSeek shows up repeatedly, with R1 and the V3-0324 release pushing reasoning and tool use, and Qwen3.5 from Alibaba Cloud leads with multimodal support. OpenAI anchors the commercial side through GPT-5.6 and its broader product lineup.
If you want open weights you can host, gpt-oss ships two open models under a permissive setup for efficient deployment, and DeepSeek is the other strong open option. For serving, vLLM is a high-throughput, memory-efficient inference engine, and SGLang is a performance-focused serving framework for LLMs and multimodal models. Both matter once you move past a single request.
Choose by need. Want the strongest open model, take DeepSeek or Qwen3.5. Want a commercial API, use OpenAI. Serving at scale, run vLLM or SGLang.