Comprehensive side-by-side LLM comparison
Qwen3-VL-235B-A22B offers 6.1K more tokens in context window than Kimi K2.5. Qwen3-VL-235B-A22B is $6.50 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 K2.5, 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-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.
3 months newer
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
Kimi K2.5
Qwen3-VL-235B-A22B
Context window and performance specifications
Available providers and their performance metrics
Kimi K2.5
Moonshot AI
Qwen3-VL-235B-A22B
OpenRouter
Kimi K2.5
Qwen3-VL-235B-A22B
Kimi K2.5
Qwen3-VL-235B-A22B