
Cline's $10 Plan Bundles Ten Open-Weight Coders
ClinePass gives developers access to ten curated open-weight coding models for $9.99 a month, betting the agent harness matters more than the model.
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ClinePass gives developers access to ten curated open-weight coding models for $9.99 a month, betting the agent harness matters more than the model.

Z.ai's GLM-5.2 delivers frontier coding performance with open weights and MIT license at roughly one-sixth the cost of GPT-5.5 - but can it replace Claude Opus 4.8?

Zhipu AI's GLM-5.2 ships with 1M token context, 744B MoE parameters, and MIT license the day after Fable 5 goes offline - but no benchmark numbers at launch.

Z.ai's GLM-5.2 is a 744B open-weight MoE model with a 1M token context window, MIT license, and first-day support for eight coding agents at roughly 1/10th the cost of US frontier models.

Z.ai's GLM-5.1 is an open-weight 754B MoE model that tops SWE-Bench Pro with 58.4, sustains 8-hour autonomous coding sessions, and runs under MIT license at $0.95/M input tokens.

Z.AI updated its GLM Coding Plan usage policy. Non-coding requests now trigger aggressive throttling, and three violations mean a permanent ban - which explains the wave of 1302 and 1303 rate-limit errors users have been hitting this week.

Z.ai's GLM-5.1 is a 754B open-weight model that claims the top spot on SWE-Bench Pro without a single NVIDIA chip - here's how it holds up in practice.

Zhipu AI's GLM-5 is a 744B MoE model with 40B active parameters, trained on 100K Huawei Ascend chips, scoring 77.8% SWE-bench and 50 on Artificial Analysis Intelligence Index - MIT licensed.

Zhipu AI's 744B open-source model GLM-5 was trained entirely on Huawei Ascend chips and now competes with GPT-5.2 and Claude Opus on major benchmarks.

Comparing two Chinese AI models with MIT-family licenses - Moonshot AI's trillion-parameter Kimi K2.5 against Zhipu AI's ultra-efficient GLM-4.7-Flash that punches well above its weight on coding and agentic tasks.

Zhipu's GLM-4.7-Flash is a 30B-A3B MoE model that posts 59.2% on SWE-bench Verified and 79.5% on tau2-Bench while running on a single RTX 4090 - MIT licensed and free via the Z.AI API.

Head-to-head comparison of Qwen3.5-35B-A3B and GLM-4.7-Flash - two Chinese-origin 30B-A3B MoE models with Apache 2.0/MIT licenses that dominate different benchmarks despite near-identical parameter budgets.