Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen3-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
ByteDance
Seed1.5-VL, released by ByteDance Seed on May 15, 2025, is a vision-language foundation model composed of a 532M-parameter vision encoder and a Mixture-of-Experts language model with 20 billion active parameters. It was pretrained on over 3 trillion multimodal tokens and achieved state-of-the-art performance on 38 out of 60 public VLM benchmarks at release. Seed1.5-VL targets complex visual reasoning, OCR, video comprehension, 3D spatial understanding, and multimodal agentic tasks.
4 months newer
Seed 1.5-VL
ByteDance
2025-05-15
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Context window and performance specifications
Average performance across 1 common benchmarks
Qwen3-VL-235B-A22B
Seed 1.5-VL
Performance comparison across key benchmark categories
Qwen3-VL-235B-A22B
Seed 1.5-VL
Available providers and their performance metrics
Qwen3-VL-235B-A22B
OpenRouter
Seed 1.5-VL
Qwen3-VL-235B-A22B
Seed 1.5-VL
Qwen3-VL-235B-A22B
Seed 1.5-VL