AI Benchmark Model
Qwen3.8 27B (low)
Benchmark scores, pricing, speed, and model comparisons for Qwen3.8 27B (low).
Key scores
The Qwen3.8 27B (low) model, developed by Alibaba and released on August 14, 2026, is a language model featured in this benchmark evaluation. It records an intelligence index of 42.9 and a coding index of 58.2, while its math index remains unknown. Performance metrics for the model include an output speed of 59.462 tokens per second and a time to first token of 1.155 seconds. Benchmark results for the model are 0.845 on GPQA, 0.14 on HLE, 0.398 on SciCode, and 0.746666666666667 on LCR. Pricing for the model is set at $0.50 per 1 million input tokens and $3.00 per 1 million output tokens, resulting in a blended cost of $1.13 per 1 million tokens.
Benchmark results
4 tracked benchmark rows for Qwen3.8 27B (low).
GPQA Reasoning
84.5% LCR Other
74.7% SciCode Other
39.8% HLE Other
14.0%
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