Comprehensive side-by-side LLM comparison
Kimi K2.5 leads with 2.4% 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.
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
Kimi K2.5
Moonshot AI
2026-01
Step-3.5-Flash
StepFun
2026-02-02
Context window and performance specifications
Average performance across 1 common benchmarks
Kimi K2.5
Step-3.5-Flash
Performance comparison across key benchmark categories
Kimi K2.5
Step-3.5-Flash
Available providers and their performance metrics
Kimi K2.5
Moonshot AI
Step-3.5-Flash
Kimi K2.5
Step-3.5-Flash
Kimi K2.5
Step-3.5-Flash