AI Benchmark Model
Qwen3.8 27B (medium)
Benchmark scores, pricing, speed, and model comparisons for Qwen3.8 27B (medium).
Key scores
Qwen3.8 27B is a medium-sized language model developed by Alibaba, released on August 14, 2026. In terms of performance metrics, the model achieves an intelligence index of 44.5 and a coding index of 56.1. Benchmark results for the model include a GPQA score of 0.845, an HLE score of 0.141, a SciCode score of 0.381, and an LCR score of 0.763333333333333. Regarding operational efficiency, the model provides an output speed of 57.956 tokens per second with a time to first token of 1.232 seconds. Pricing for Qwen3.8 27B 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 (medium).
GPQA Reasoning
84.5% LCR Other
76.3% SciCode Other
38.1% HLE Other
14.1%
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