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GLM 5.2 outperforms Opus in benchmark tests
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GLM 5.2 outperforms Opus in benchmark tests

TechStackUps benchmark data released on June 22, 2026 shows GLM 5.2 achieving higher accuracy than Opus across standard LLM evaluations, with Opus only edging out on narrow latency measurements.

GLM 5.2 and Opus were evaluated side‑by‑side in a benchmark suite released on June 22, 2026. The analysis from TechStackUps shows GLM 5.2 posting higher scores on most of the tests, while Opus lagged behind on language‑understanding and code‑generation tasks [techstackups].

What shipped The benchmark set includes the standard LLM evaluations MMLU, GSM8K, and HumanEval. Each model was run on an identical hardware configuration and inference settings, following the community‑accepted protocol of zero temperature and deterministic sampling. Across the three suites, GLM 5.2 recorded a consistent lead, delivering a measurable advantage on each task. Opus edged out GLM 5.2 on a narrow subset of latency‑focused measurements, and retains a modest edge on raw throughput, but the overall accuracy gap favours GLM 5.2 [techstackups].

Why it matters The results give engineers a concrete data point when choosing between the two models, especially for workloads that prioritize accuracy over raw speed. They also illustrate how quickly newer releases can overtake previous‑generation competitors, signalling a shifting balance in the LLM market. Finally, the public comparison underscores the value of transparent benchmarking for the community, allowing developers to align model choice with real‑world performance rather than marketing claims.

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