Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B offers 6.1K more tokens in context window than Kimi K2.5. Qwen3-235B-A22B is $6.50 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
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
8 months newer
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
Kimi K2.5
Qwen3-235B-A22B
Context window and performance specifications
Available providers and their performance metrics
Kimi K2.5
Moonshot AI
Qwen3-235B-A22B
OpenRouter
Kimi K2.5
Qwen3-235B-A22B
Kimi K2.5
Qwen3-235B-A22B