The best open-weight, self-hostable alternatives to KAT-Coder-Pro V2 in 2026 — compared on price, context window and capabilities. Run them locally and cut API costs.
Refreshed from live data · olud.ai
KAT-Coder-Pro V2 is a proprietary, API-only model. These open-weight models can be self-hosted, run offline and used at a fraction of the cost — here's how the top ones stack up.
17.8 pts ABOVE KAT-Coder-Pro V2 on the Artificial Analysis intelligence index · 2.0× cheaper per million output tokens
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
DeepSeek V4.1 Flash vs KAT-Coder-Pro V2 →4.7 pts ABOVE KAT-Coder-Pro V2 on the Artificial Analysis intelligence index · 1.4× cheaper per million output tokens
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....
MiMo-V2.5-Pro vs KAT-Coder-Pro V2 →4.1 pts ABOVE KAT-Coder-Pro V2 on the Artificial Analysis intelligence index · 3.6× cheaper per million output tokens
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...
Hy3 vs KAT-Coder-Pro V2 →3.2 pts ABOVE KAT-Coder-Pro V2 on the Artificial Analysis intelligence index · 20.0× cheaper per million output tokens
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enablin
Ling 3.0 Flash vs KAT-Coder-Pro V2 →Within 2.2 pts of KAT-Coder-Pro V2 on the Artificial Analysis intelligence index · 1.0× cheaper per million output tokens
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...
Step 3.7 Flash vs KAT-Coder-Pro V2 →Live ranking of open-weight models with pricing, context windows and capabilities.
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