Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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.
StepFun
Step-3.5-Flash, released by StepFun on February 2, 2026, is a Mixture-of-Experts large language model with 197 billion total parameters and approximately 11 billion active parameters per inference. It features a 256K token context window using a 3:1 sliding-window-to-full-attention ratio, processing 100–350 tokens per second. Step-3.5-Flash targets agentic tasks, coding workflows, and open-source deployments requiring frontier reasoning capabilities with efficient inference, under an Apache 2.0 license.
1 month newer
MiMo-V2-Flash
Xiaomi
2025-12-16
Step-3.5-Flash
StepFun
2026-02-02
Average performance across 1 common benchmarks
MiMo-V2-Flash
Step-3.5-Flash
Performance comparison across key benchmark categories
MiMo-V2-Flash
Step-3.5-Flash
Available providers and their performance metrics
MiMo-V2-Flash
Step-3.5-Flash
MiMo-V2-Flash
Step-3.5-Flash