Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B leads with 8.2% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen3-235B-A22B is the stronger choice for coding tasks.
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
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
1 month newer
Qwen2.5-Omni-7B
Alibaba / Qwen
2025-03-26
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Context window and performance specifications
Average performance across 1 common benchmarks
Qwen2.5-Omni-7B
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Qwen2.5-Omni-7B
Qwen3-235B-A22B
Available providers and their performance metrics
Qwen2.5-Omni-7B
Qwen3-235B-A22B
OpenRouter
Qwen2.5-Omni-7B
Qwen3-235B-A22B
Qwen2.5-Omni-7B
Qwen3-235B-A22B