Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B offers 6.1K more tokens in context window than Kimi K2 Thinking. Qwen3-235B-A22B is $4.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Moonshot AI
Kimi K2 Thinking, released by Moonshot AI on November 6, 2025, is a reasoning-focused variant of Kimi K2 with 1 trillion total parameters and 32 billion active parameters, featuring extended chain-of-thought processing for complex problem solving. It builds on K2's agentic coding strengths with additional capabilities for mathematical and scientific reasoning. Kimi K2 Thinking targets open-source deployments requiring deep, deliberate reasoning across coding and analytical domains.
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.
6 months newer
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Kimi K2 Thinking
Moonshot AI
2025-11-06
Cost per million tokens (USD)
Kimi K2 Thinking
Qwen3-235B-A22B
Context window and performance specifications
Available providers and their performance metrics
Kimi K2 Thinking
Moonshot AI
Qwen3-235B-A22B
OpenRouter
Kimi K2 Thinking
Qwen3-235B-A22B
Kimi K2 Thinking
Qwen3-235B-A22B