Comprehensive side-by-side LLM comparison
Kimi K2.5 leads with 21.7% higher average benchmark score. Qwen3-VL Flash supports multimodal inputs. Overall, Kimi K2.5 is the stronger choice for coding tasks.
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 Flash is a lightweight multimodal variant from Alibaba's Qwen3-VL family, designed for efficient visual reasoning and image understanding at lower inference cost. It inherits the joint visual-textual architecture of the Qwen3-VL series and targets latency-sensitive applications requiring multimodal input processing at scale.
21 days newer
Kimi K2.5
Moonshot AI
2026-01
Qwen3-VL Flash
Alibaba / Qwen
2026-01-22
Context window and performance specifications
Average performance across 1 common benchmarks
Kimi K2.5
Qwen3-VL Flash
Performance comparison across key benchmark categories
Kimi K2.5
Qwen3-VL Flash
Available providers and their performance metrics
Kimi K2.5
Moonshot AI
Qwen3-VL Flash
Kimi K2.5
Qwen3-VL Flash
Kimi K2.5
Qwen3-VL Flash