Alibaba's Qwen3.8-27B Matches OpenAI's GPT-5.6 Luna in Performance Benchmarks

The Qwen3.8-27B, a small model with 27 billion parameters, performed on par with OpenAI’s GPT-5.6 Luna, which was billed as the most cost-efficient model in the US lab’s latest flagship series, benchmark firm Artificial Analysis said on Monday.

OpenAI, which launched the GPT-5.6 family last month, does not disclose the parameter counts of its models.

The new findings came days after Alibaba released Qwen3.8-27B’s model weights – the underlying parameters that encode its intelligence – last Friday.

On Artificial Analysis’ Agentic Index, which measures models’ performance in AI agent-focused workflows, Alibaba’s small model outperformed GPT-5.6 series’ mid-tier model Terra and Anthropic’s powerful Claude Opus 4.8 released in May.