GLM-5.1
GLM-5.1 is a large language model developed by Zhipu AI, representing an iterative version within the GLM series and adopting a Mixture-of-Experts (MoE) architecture. The model is primarily oriented toward programming tasks such as code generation and comprehension, demonstrating strong performance on multiple code evaluation benchmarks. Compared with its predecessors, it offers improved inference efficiency and is applicable to general natural language processing scenarios including dialogue and code assistance.
Timeline (last 90 days)
Under conditions where the target language is explicitly specified in the prompt (L3 prompts), GLM-5.1 achieved a generation accuracy of 72.29%, while Llama-3.3 70B reached only 24.24%.
In EvoArena testing, GPT-5.5, which achieved the highest Step Level score, had an accuracy of just over 50%, while Gemini-3.1 Pro and GLM-5.1, which performed best at the Chain Level, reached only approximately 28%–29%.
ZGCM-1-7B remains competitive with large models such as Qwen3-235B-A22B and GLM-5.1 on mathematical reasoning and agentic search tasks.
ReLE's open-source model evaluation covers models including kimi-k2.6, deepseek-v4, Qwen3.6, llama4, GLM-5.1, gemma4, and mistral.
All Facts (4)
Under conditions where the target language is explicitly specified in the prompt (L3 prompts), GLM-5.1 achieved a generation accuracy of 72.29%, while Llama-3.3 70B reached only 24.24%.
50%UnverifiedIn EvoArena testing, GPT-5.5, which achieved the highest Step Level score, had an accuracy of just over 50%, while Gemini-3.1 Pro and GLM-5.1, which performed best at the Chain Level, reached only approximately 28%–29%.
50%UnverifiedZGCM-1-7B remains competitive with large models such as Qwen3-235B-A22B and GLM-5.1 on mathematical reasoning and agentic search tasks.
50%UnverifiedReLE's open-source model evaluation covers models including kimi-k2.6, deepseek-v4, Qwen3.6, llama4, GLM-5.1, gemma4, and mistral.
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