Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-5 is a large language model from Zhipu AI with 745 billion total parameters and 44 billion active parameters per inference, designed for agentic intelligence, advanced reasoning, and frontier-level performance. It features a 200K token context window and targets complex multi-step tasks requiring sustained reasoning and tool use. GLM-5 is available via Zhipu AI's Z.ai platform under an MIT license.
Alibaba / Qwen
Qwen2.5-Omni-7B is a 7-billion-parameter end-to-end multimodal model from Alibaba, released in March 2025 as part of the Omni series designed to unify perception and generation across text, images, audio, and video in a single model architecture. Unlike pipeline-based multimodal systems, it processes all modalities end-to-end and can generate both text and speech outputs, targeting use cases in voice assistants, multimodal agents, and real-time interactive applications. Its compact size made it notable for on-device and resource-constrained multimodal deployments.
10 months newer
Qwen2.5-Omni-7B
Alibaba / Qwen
2025-03-26
GLM 5
Zhipu AI
2026-02-11
Context window and performance specifications
Available providers and their performance metrics
GLM 5
Zhipu AI
Qwen2.5-Omni-7B
GLM 5
Qwen2.5-Omni-7B
GLM 5
Qwen2.5-Omni-7B