GLM-5.2: Open-Weight 1M-Context Coding Model (2026)
Z.ai's GLM-5.2 is a 753B-parameter, MIT-licensed open-weight model with a usable 1M-token context. See its coding benchmarks, pricing, and how to run it.
Z.ai's GLM-5.2 is a 753B-parameter, MIT-licensed open-weight model with a usable 1M-token context. See its coding benchmarks, pricing, and how to run it.
MiniMax M3 is an open-weight, 1M-context AI coding model with native multimodality and Sparse Attention. What its benchmarks, pricing, and license really mean.
Nex-N2-Pro is a free, open-weight 397B MoE coding model from Nex AGI, built on Qwen3.5. We check its benchmarks against GPT-5.5, Opus, and rival open models.
MiniMax M3 is an open-weight coding model whose Sparse Attention runs 1M-token context at 1/20th the compute. Its benchmarks beat GPT-5.5 — with caveats.
GLM-5.1 (April 2026): Z.ai's 754B open-weight model scored 58.4% on SWE-bench Pro, beating GPT-5.4 and Claude Opus 4.6 on real coding benchmarks.