GLM-5.2 looks close to GPT-5.5 and Claude Opus 4.8 on benchmarks, but real coding tests tell a messier story. Compare token costs, game builds, bug hunts, and which model fits your work best. ⚔️

We'll talk about:

• What DeepSWE and FrontierSWE actually measure
• Why cheap token pricing can still become expensive
• Why open-weight does not always mean easy to run locally
• How GPT-5.5, Claude Opus 4.8, and GLM-5.2 compare in real tests
• Which model fits game builds, bug hunting, and API use cases

Keywords: GLM-5.2, GPT-5.5, Claude Opus 4.8, AI Coding Model Comparison, DeepSWE Benchmark, AI Tools.

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