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Qwen 3.8 27B ties GPT-5.6 Luna at 52 on Artificial Analysis Intelligence Index, one point behind GLM-5.2 753B and DeepSeek V4 Pro 0813
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Qwen 3.8 27B scored 52 on the Artificial Analysis Intelligence Index, matching GPT-5.6 Luna (max) and trailing GLM-5.2 (max, 753B) and DeepSeek V4 Pro 0813 (max, 1.6B) by one point.
For engineers evaluating self-hosted LLMs, a 27B-parameter model scoring at the same level as much larger comparators on a third-party intelligence benchmark is a relevant data point for hardware sizing. The source does not detail what the Artificial Analysis Intelligence Index measures, so workload-specific testing is still warranted. A separate Willison post the day before flagged that the model 'defaults to wildly overthinking things,' a practical latency and cost concern for production use.
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Qwen 3.8 27B scored 52 on the Artificial Analysis Intelligence Index, the same score as GPT-5.6 Luna (max).
The score places Qwen 3.8 27B one point behind GLM-5.2 (max, 753B parameters) and DeepSeek V4 Pro 0813 (max, 1.6B parameters), per the source.
A separate Simon Willison post dated 16th August 2026 noted the model 'defaults to wildly overthinking things,' a concern for latency-sensitive deployment.
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