AI Models · Open-Source Alternatives

Open-Source Alternatives to KWKAT-Coder-Pro V2

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

The best open-weight alternatives to KAT-Coder-Pro V2

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.

DeepSeek V4.1 Flash Open

DeepSeek · 1M ctx · $0.6/M out

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 →

XI MiMo-V2.5-Pro Open

Xiaomi · 1.1M ctx · $0.87/M out

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 →

Hy3 Open

Tencent · 262K ctx · $0.33/M out

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 →

IN Ling 3.0 Flash Open

Inclusionai · 262K ctx · $0.06/M out

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 →

Step 3.7 Flash Open

Stepfun · 262K ctx · $1.15/M out

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 →

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