Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 7.5% higher average benchmark score. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
Google DeepMind
Gemini Diffusion is an experimental text and code generation model from Google DeepMind, announced at Google I/O in May 2025 as the first diffusion-based language model to achieve quality comparable to autoregressive models on standard benchmarks. Unlike transformer-based models that predict tokens sequentially left-to-right, it generates entire blocks of text by iteratively refining noise — the paradigm used in image and video generation models — enabling faster sampling speeds and stronger mid-generation error correction for code and mathematical editing tasks. At announcement it was available only as an experimental demo via waitlist, with no public API, marking it as a research milestone rather than a production deployment.
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.
6 months newer
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12

Gemini Diffusion
Google DeepMind
2025-05-20
Average performance across 1 common benchmarks
Gemini Diffusion
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Gemini Diffusion
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Gemini Diffusion
Qwen2.5-Coder 7B Instruct
Gemini Diffusion
Qwen2.5-Coder 7B Instruct