Comprehensive side-by-side LLM comparison
Qwen3-Coder-480B offers 6.1K more tokens in context window than Kimi K2.5. Qwen3-Coder-480B is $6.00 cheaper per million tokens. 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-480B-A35B-Instruct, released by Alibaba's Qwen team on July 22, 2025, is a Mixture-of-Experts large language model with 480 billion total parameters and 35 billion active parameters per inference, specifically designed for agentic coding tasks. It features a 256K token native context window (extendable to 1M tokens with extrapolation) and demonstrated competitive performance on agentic coding, browser automation, and tool-use benchmarks. Qwen3-Coder-480B targets automated software engineering, multi-step code agents, and open-source coding deployments under the Apache 2.0 license.
5 months newer
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
Kimi K2.5
Qwen3-Coder-480B
Context window and performance specifications
Available providers and their performance metrics
Kimi K2.5
Moonshot AI
Qwen3-Coder-480B
OpenRouter
Kimi K2.5
Qwen3-Coder-480B
Kimi K2.5
Qwen3-Coder-480B