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// 45d agoBENCHMARK RESULT
GLM-5.1 matches frontier social reasoning
Zhipu AI's GLM-5.1 model demonstrated competitive performance against top-tier frontier models like Claude Opus 4.6 in a complex social deduction benchmark based on Blood on the Clocktower. Despite its significantly lower cost of $0.92 per game and a flawless 0% tool error rate, the model successfully navigated the game's intricate social reasoning and strategic deception requirements.
// ANALYSIS
GLM-5.1 proves that high-level social reasoning and theory of mind are no longer exclusive to the most expensive closed-source models.
- –Achieving a 0% tool error rate in a multi-turn social game indicates significant architectural robustness for agentic interactions.
- –A 75% cost reduction compared to Claude Opus 4.6 makes GLM-5.1 a highly attractive option for developers building complex, long-running agent simulations.
- –Success in Blood on the Clocktower—which requires tracking hidden roles, deception, and logical deduction—suggests GLM-5.1 has advanced beyond simple pattern matching into genuine strategic reasoning.
- –The model's performance on domestic hardware highlights a maturing ecosystem for high-performance AI training outside the Nvidia monoculture.
// TAGS
llmreasoningbenchmarkglm-5.1agentopen-source
DISCOVERED
45d ago
2026-04-12
PUBLISHED
45d ago
2026-04-12
RELEVANCE
8/ 10
AUTHOR
cjami