Comprehensive side-by-side LLM comparison
Kimi K2.5 leads with 10.2% higher average benchmark score. UI-TARS-2 supports multimodal inputs. Overall, Kimi K2.5 is the stronger choice for coding tasks.
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.
ByteDance
UI-TARS-2, released by ByteDance in September 2025, is a major generational upgrade of the UI-TARS family of GUI interaction models, with enhanced capabilities across computer control, game environments, code generation, and tool use. It targets agentic workflows requiring robust multimodal understanding of graphical interfaces across diverse application domains.
3 months newer
UI-TARS-2
ByteDance
2025-09-04
Kimi K2.5
Moonshot AI
2026-01
Context window and performance specifications
Average performance across 1 common benchmarks
Kimi K2.5
UI-TARS-2
Performance comparison across key benchmark categories
Kimi K2.5
UI-TARS-2
Available providers and their performance metrics
Kimi K2.5
Moonshot AI
UI-TARS-2
Kimi K2.5
UI-TARS-2
Kimi K2.5
UI-TARS-2