A bee does not fly like an airplane. Neither does AI.

Qwen3.6-35B-A3B generates tokens at 2.2x the speed of Qwen3.8-27B, but performs inference for 3.1x longer, resulting in slower final response completion times. The quality of the two models was evaluated as equivalent across 25 benchmark tasks.

Small models cannot store vast knowledge like large models, so they undergo more reasoning processes from first principles to derive answers. This mechanism is similar to how a bee does not fly like an airplane.

• Qwen3.8-27B: Token speed 51.9, average latency 7.2 seconds
• Qwen3.6-35B-A3B: Token speed 113.4, average latency 10.0 seconds

Cloud models jump directly to the correct answer, whereas local models internally spend more time and tokens debating and reviewing. Therefore, when evaluating AI performance, it is important to measure the actual Time to Answer rather than just token generation speed.