GPT-5 Codex is a multi-model hybrid code generation system launched by OpenAI, which integrates high - efficiency basic models and deep reasoning modules, and dynamically schedules resources through intelligent routing. Its code generation ability has been significantly improved, enabling rapid construction of complex front - end applications and debugging of large - scale code libraries. It supports generating complete websites and games with a single prompt and performs better in design aesthetics processing. It is suitable for programming development, application construction, and code debugging scenarios. Free users can use it for basic functions, while the paid version offers higher limits and extended reasoning capabilities.

GPT-5 is a new-generation flagship large language model launched by OpenAI. It uses a unified architecture and an intelligent routing mechanism, which can automatically switch between fast response and in-depth reasoning modes. Its core features include industry-leading coding capabilities (SWE-bench Verified score of 74.9%), multimodal processing, a low hallucination rate, and optimized instruction-following capabilities. It is suitable for scenarios such as programming development, content creation, medical consultation, and complex problem reasoning, and offers tiered services such as Plus/Pro.

Qwen3-235B-A22B is a large language model with a Mixture of Experts (MoE) architecture open-sourced by Alibaba. It has a total of 235 billion parameters, with 22 billion parameters dynamically activated. It uses a dynamic routing mechanism to balance high performance and low resource consumption. It supports a super-long context of 256K and is suitable for scenarios such as long document summarization, complex question answering, and code completion. It is a cost-effective choice for enterprise deployment.

Hunyuan-Standard (formerly the standard version of the Hunyuan large model) is a long-text large model with a MOE architecture launched by Tencent. It has a maximum input of 30k and an output of 2k. It uses an optimized routing strategy to balance the load and the problem of expert convergence, offering high cost-effectiveness. It supports long-text processing and ranks first in application capabilities in the SuperCLUE evaluation. It is suitable for scenarios such as meeting records, document generation, and advertising creation.

ERNIE-4.5-21B-A3B-Paddle is a large text Mixture-of-Experts (MoE) language model launched by Baidu, with a total of 21 billion parameters and 3 billion parameters activated per token. It adopts a heterogeneous MoE architecture and modality isolation routing technology, is optimized based on the PaddlePaddle framework, and is suitable for lightweight scenarios such as intelligent dialogue and content creation. It provides the ERNIEKit fine-tuning and FastDeploy deployment toolchains and is open-sourced under the Apache 2.0 license.