TielCoder 22 GB 4-bit MoE quant matches Claude Opus 4.6 medium on real coding problems

Benchmark results show TielCoder, a 22 GB 4-bit quantized 35B Mixture-of-Experts model, matches Claude Opus 4.6 at medium effort on recent real-world coding tasks and surpasses Kimi K2. The model runs efficiently on constrained hardware and is positioned as a local alternative to frontier cloud models for coding workflows. The comparison used live coding problems rather than standard benchmark suites.