Kimi K2 Linear
by Moonshot AI
Lightweight edge variant (October 2025). 48B total / 3B active parameters. KDA (Kimi Delta Attention) for memory efficiency. Optimized for cost-sensitive and constrained deployments.
Release
- Date: October 2025
- Parameters: 48B total / 3B active
- Focus: Edge and lightweight deployment
Architecture
- Attention: KDA (Kimi Delta Attention)
- Memory footprint: Significantly reduced vs K2
- Inference: Fast, optimized for latency
Capabilities
- Reasoning on memory-constrained devices
- Fast inference for real-time applications
- Cost-optimized inference at scale
- Open-source deployment
Use Cases
- Edge devices (mobile, embedded, IoT)
- Cost-optimized inference clusters
- Latency-critical applications
- Memory-constrained environments
Positioning
- Entry-level Kimi for resource-constrained scenarios
- Trades some capability for efficiency
- Complements K2/K2.5/K2.6 for broader deployment options