Kimi Linear 48B A3B MoE model hits 1M context with surprising speed
A 48B MoE model with 1M context runs faster than Qwen 3.6 35B...
Deep Dive
A new MoE model with 1M context and 48B parameters runs faster than Qwen 3.6 35B and can produce decent results, but tends to give minimal output unless asked for detail. It handles well-structured animated frontend pages fairly well. However, there's something off with its behavior, and the user wonders if a fine-tune could tighten it up.
Key Points
- MoE (Mixture of Experts) with 48B total parameters and 1M token context window
- Runs significantly faster than Qwen 3.6 35B in head-to-head tests
- Generates good animated frontend code but defaults to minimal output unless prompted for detail
Why It Matters
A fast 1M-context MoE model that excels at code generation but needs prompt engineering—potential for fine-tuned variants.