GLM-5.3 Outperforms Competitors in Real-World Tasks at Lower Cost

Aug 23, 2026

AI Summary

GLM-5.3 achieved a 100% success rate across five task categories while costing significantly less than its competitors. Other models, such as GPT-5.5 and Opus-5, showed varied performance and costs, highlighting the trade-offs between speed and reliability.

GLM-5.3 scored 100% in coding, data development, real-world tasks, security, and overall performance with a rubric score of 9.3 and a cost of $0.28 per task.
GPT-5.5 matched GLM-5.3's security performance but had a lower real-world success rate of 89% and a higher cost of $1.43 per task.
Fable-5 and Opus-5 both faced issues with task refusals, scoring 79% overall, indicating they may not be reliable for all tasks.
GPT-5.6-luna, while quick with a median time-to-first-token of 5.3 seconds, had a lower overall pass rate of 79% and only 33% in security tasks, making it less suitable for sensitive applications.
Kimi-k3 achieved the highest rubric score of 9.5 but had a slower median time-to-first-token of 26.4 seconds, limiting its use in interactive settings.
The results suggest that while GLM-5.3 is cost-effective and reliable, other models may be better suited for specific tasks depending on the user's needs.

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GLM-5.3 Outperforms Competitors in Real-World Tasks at Lower Cost

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