Comprehensive side-by-side LLM comparison
Kimi K2.5 leads with 3.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Moonshot AI
Kimi K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
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.
16 days newer
MiMo-V2-Flash
Xiaomi
2025-12-16
Kimi K2.5
Moonshot AI
2026-01
Context window and performance specifications
Average performance across 1 common benchmarks
Kimi K2.5
MiMo-V2-Flash
Performance comparison across key benchmark categories
Kimi K2.5
MiMo-V2-Flash
Available providers and their performance metrics
Kimi K2.5
Moonshot AI
MiMo-V2-Flash
Kimi K2.5
MiMo-V2-Flash
Kimi K2.5
MiMo-V2-Flash