Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
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.
6 days newer
MiMo-V2-Flash
Xiaomi
2025-12-16
GLM-4.7
Zhipu AI
2025-12-22
Context window and performance specifications
Average performance across 1 common benchmarks
GLM-4.7
MiMo-V2-Flash
Performance comparison across key benchmark categories
GLM-4.7
MiMo-V2-Flash
Available providers and their performance metrics
GLM-4.7
Zhipu AI
MiMo-V2-Flash
GLM-4.7
MiMo-V2-Flash
GLM-4.7
MiMo-V2-Flash