Ling-2.6-1T is Ant Group’s trillion-scale model built on MLA + Hybrid Linear Attention — not standard MoE. It achieves open-source SOTA on agent benchmarks (SWE-bench, BFCLv4, TAU2-Bench) with minimal token overhead, now exclusively backed by Novita AI.
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Compare Kimi K2.5 vs GLM-4.7 with real benchmarks, latency, throughput, and pricing—plus quickstart steps to try both models instantly.
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Compare GLM-4.7 and GLM-4.7-Flash by tier: flagship quality vs scalable cost, with real benchmarks, speed data, and Novita pricing.
GLM-4.7 vs Claude Sonnet 4.5: benchmark strengths, speed/latency, and pricing—where each wins, and why GLM often costs far less.
