Qwen-35B-A3B with dynamic compute allocation rivals GPT-5 on HLE benchmark
Smart budget routing squeezes near-frontier performance from a compact MoE model
Deep Dive
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Key Points
- Dynamic compute budget allocation routes extra FLOPs to hard questions, improving accuracy by up to 18% on HLE subsets.
- Iterative section evolution mimics adaptive chain-of-thought, refining answers without exponential cost scaling.
- Qwen-35B-A3B achieves <5% accuracy gap to GPT-5.4-xHigh while using ~80% less total compute per query.
Why It Matters
Enables frontier-level reasoning on affordable hardware, slashing inference costs for complex AI workflows.