Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Alibaba / Qwen
Qwen3-Max, released by Alibaba in September 2025 as an API preview, is a large language model exceeding one trillion parameters built for complex reasoning and long-context tasks. It features a 262K token context window, hybrid thinking modes that allow switching between direct generation and extended chain-of-thought, and is available as a proprietary cloud API via Alibaba Cloud and Qwen Chat. Qwen3-Max targets demanding reasoning, multilingual analysis, and applications requiring frontier-level performance from the Qwen3 generation.
5 months newer
Qwen2.5-Omni-7B
Alibaba / Qwen
2025-03-26
Qwen3-Max
Alibaba / Qwen
2025-09-05
Context window and performance specifications
Available providers and their performance metrics
Qwen2.5-Omni-7B
Qwen3-Max
OpenRouter
Qwen2.5-Omni-7B
Qwen3-Max
Qwen2.5-Omni-7B
Qwen3-Max