Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 2.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen2.5-Coder-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
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.
5 months newer
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Context window and performance specifications
Average performance across 1 common benchmarks
Qwen2.5-Coder 7B Instruct
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Qwen2.5-Coder 7B Instruct
Qwen3-235B-A22B
Available providers and their performance metrics
Qwen2.5-Coder 7B Instruct
Qwen3-235B-A22B
OpenRouter
Qwen2.5-Coder 7B Instruct
Qwen3-235B-A22B
Qwen2.5-Coder 7B Instruct
Qwen3-235B-A22B