Z.ai: GLM 4.5 Air vs Qwen: Qwen3.5-27B
Head-to-head API cost, context, and performance comparison. Synced at 11:20:04 AM.
Executive Summary
When evaluating Z.ai: GLM 4.5 Air against Qwen: Qwen3.5-27B, the pricing structure is a key differentiator. Z.ai: GLM 4.5 Air is approximately 44% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Qwen: Qwen3.5-27B leads with a statistical ELO score of 1120. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3.5-27B, provided their budget allows for the API burn rate.
You are losing 44%
per million tokens by hardcoding Qwen: Qwen3.5-27B.
Stop guessing exactly which model to route to. Deploy the 0ms Intelligence Engine to automatically arbitrage this 44% gap in your production environment instantly.
Raw Technical comparison
Verdict
If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Z.ai: GLM 4.5 Air wins out aggressively in pricing.
People Also Ask
Is Z.ai: GLM 4.5 Air cheaper than Qwen: Qwen3.5-27B?
Yes. Z.ai: GLM 4.5 Air is cheaper for both input and output generation compared to Qwen: Qwen3.5-27B. Exploring alternatives often yields cost reductions.
Which model has the larger context window?
The Qwen: Qwen3.5-27B model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.