Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Moonshot AI
Kimi K2 Thinking, released by Moonshot AI on November 6, 2025, is a reasoning-focused variant of Kimi K2 with 1 trillion total parameters and 32 billion active parameters, featuring extended chain-of-thought processing for complex problem solving. It builds on K2's agentic coding strengths with additional capabilities for mathematical and scientific reasoning. Kimi K2 Thinking targets open-source deployments requiring deep, deliberate reasoning across coding and analytical domains.
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.
1 month newer
Kimi K2 Thinking
Moonshot AI
2025-11-06
MiMo-V2-Flash
Xiaomi
2025-12-16
Context window and performance specifications
Available providers and their performance metrics
Kimi K2 Thinking
Moonshot AI
MiMo-V2-Flash
Kimi K2 Thinking
MiMo-V2-Flash
Kimi K2 Thinking
MiMo-V2-Flash