Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Xiaomi
MiMo-V2-Flash, released by Xiaomi on December 16, 2025, is a Mixture-of-Experts large language model with 309 billion total parameters and 15 billion active parameters per inference, designed for high-speed reasoning and agentic workflows. It features a 256K token context window, processes up to 150 tokens per second, and was trained on 27 trillion tokens. MiMo-V2-Flash targets open-source deployments requiring fast, capable coding and reasoning with an efficient inference footprint, under an MIT license.
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.
1 year newer
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12
MiMo-V2-Flash
Xiaomi
2025-12-16
Available providers and their performance metrics
MiMo-V2-Flash
Qwen2.5-Coder 7B Instruct
MiMo-V2-Flash
Qwen2.5-Coder 7B Instruct