Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 2.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen2.5-32B-Instruct is a 32-billion-parameter open-weight model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens. The model is positioned as a high-capability option for developers with access to multi-GPU setups or high-VRAM hardware, offering strong performance on coding, structured reasoning, and multilingual tasks while remaining fully open under Apache 2.0. Its 128K context window and support for structured output generation made it a popular choice for document processing and agentic workflows in the open-source community.
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.
7 months newer
Qwen2.5 32B Instruct
Alibaba / Qwen
2024-09-19
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Context window and performance specifications
Average performance across 1 common benchmarks
Qwen2.5 32B Instruct
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Qwen2.5 32B Instruct
Qwen3-235B-A22B
Available providers and their performance metrics
Qwen2.5 32B Instruct
Qwen3-235B-A22B
OpenRouter
Qwen2.5 32B Instruct
Qwen3-235B-A22B
Qwen2.5 32B Instruct
Qwen3-235B-A22B