Comprehensive side-by-side LLM comparison
Qwen3 Coder Next leads with 2.1% 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.
Alibaba / Qwen
Qwen3 Coder Next is a coding-specialized open-weight model from Alibaba's Qwen3 family, built on the Qwen3-Next architecture with hybrid attention and Mixture-of-Experts design optimized for local development and agentic coding workflows. It targets on-device and self-hosted deployments requiring a capable coding agent that can operate within consumer hardware constraints.
1 month newer
Kimi K2.5
Moonshot AI
2026-01
Qwen3 Coder Next
Alibaba / Qwen
2026-02-04
Context window and performance specifications
Average performance across 1 common benchmarks
Kimi K2.5
Qwen3 Coder Next
Performance comparison across key benchmark categories
Kimi K2.5
Qwen3 Coder Next
Available providers and their performance metrics
Kimi K2.5
Moonshot AI
Qwen3 Coder Next
Kimi K2.5
Qwen3 Coder Next
Kimi K2.5
Qwen3 Coder Next