GLM-4.7
Zhipu AI's flagship model. Context window: 203K tokens.
Scores by test
Methodology →What you need to know
GLM-4.7 distinguishes itself through high reliability in structured tasks, achieving perfect scores in tool calling, faithfulness, and long-context processing. With a 203K context window and a 5/5 rating for long-context handling, the model is optimized for RAG pipelines and complex API integrations where precision and grounding are critical.
At a blended cost of $1.40/MTok, the model is priced competitively for its performance tier, ranking 19th out of 76 models. The cost-to-performance ratio is strongest for technical automation, though it struggles with constrained rewriting, where it scores only 3/5. This suggests a limitation in following strict formatting rules or stylistic constraints during text transformation.
Use this model for agentic workflows, large-document analysis, and applications requiring high factual accuracy. Skip this model if your primary requirement is nuanced content rewriting or highly constrained output formatting.
Strengths — Top 3
Relative weaknesses — Bottom 3
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