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Comprehensive side-by-side LLM comparison
Qwen3-VL-235B-A22B offers 6.1K more tokens in context window than Kimi K2 Thinking. Qwen3-VL-235B-A22B is $4.00 cheaper per million tokens. Qwen3-VL-235B-A22B supports multimodal inputs. 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-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
1 month newer
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Kimi K2 Thinking
Moonshot AI
2025-11-06
Cost per million tokens (USD)
Kimi K2 Thinking
Qwen3-VL-235B-A22B
Context window and performance specifications
Available providers and their performance metrics
Kimi K2 Thinking
Moonshot AI
Qwen3-VL-235B-A22B
OpenRouter
Kimi K2 Thinking
Qwen3-VL-235B-A22B
Kimi K2 Thinking
Qwen3-VL-235B-A22B