Announcing Ling 3.0 Flash: Free on Kilo for a Limited Time



We are excited to announce that Ling 3.0 Flash, the latest breakthrough from inclusionAI (Ant Group), is now available on Kilo. To celebrate the rollout, developers can access and build with Ling 3.0 Flash 100% free for a limited time.
Whether you are running multi-turn coding agents or building daily agentic workflows on tight token budgets, Ling 3.0 Flash brings high capabilities at lightning speed. Give it a spin today in the Kilo CLI and IDE extensions and help it rise up on the Kilo Leaderboard like previous Ring and Ling models have done!
The Rise of Highly Efficient Open-Weight Models
The open-weight landscape has shifted dramatically. The industry is no longer solely chasing sheer parameter bloat or the most advanced reasoning on the planet. Instead, the focus has moved to architectural efficiency.
I first highlighted this trend with a focus on Gemini and StepFun flash models back in May (a year ago in AI time…), and this new Ling model continues the trend with a focus on autonomy and efficiency. Early testing has found the model remarkably capable of following a path of thought and taking action.
Sparse Mixture-of-Experts (MoE) architectures and hybrid attention stacks have proven that you do not need to fire 70B+ dense parameters on every token to achieve top-tier performance. Hot on the heels of the latest model from Google DeepMind, Gemini 3.6 Flash, Ling 3.0 Flash represents the pinnacle of this new wave:
Massive Capacity, Minimal Footprint: Houses 124B total parameters while activating only ~5.1B parameters per token.
Ultra-Low Latency: Optimized for high-throughput, token-efficient inference, drastically cutting down execution time and compute costs.
Pretty Big Context: Features a native 256K context window (extendable up to 1M), perfect for long-horizon task stability and deep repository reasoning.
This rise of hyper-efficient open-weight models means developers can finally run production-grade agentic tasks without sacrificing speed or bur…