QEncodeBench: leaderboard

QEncodeBench (Che, Wu, Yuan and Yu, 2026) asks a language model to encode a classical constraint problem as a Grover-style phase oracle in Qiskit, within a qubit budget and without oracle-lookup APIs. A verifier decides by exhaustive simulation whether the circuit marks exactly the solution set up to a global phase and restores its ancillas; the board is semantic pass@1 in percent over the 480-instance core set, higher is better.

Metric: Semantic pass@1 (%; L3 gate on the 480-instance core set of six constraint-problem families at three graded tiers; the model writes a Qiskit build_oracle function in one shot and the verifier decides full solution-set equivalence up to a global phase by exhaustive simulation, with ancillas restored and a measurement-free unitary circuit; pass@1, one attempt per instance (five samples at temperature 0.7 for the non-reasoning DeepSeek-V4-Flash row)). Source: arxiv.org. Saturation forecast: Around February 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Terra83.1#60
2GPT-OSS-120B (High)81.2#699 (GPT-OSS-120B)
3GPT-OSS-20B (High)68.8#1150 (GPT-OSS-20B)
4Claude Opus 4.865.2#56
5Claude Haiku 4.549#568
6DeepSeek V4 Flash (Non-reasoning)10.2#254 (DeepSeek V4 Flash)
7DeepSeek R1 0528 Qwen3 8B1#2101
8Qwen 2.5 Coder 7B Instruct0#3884

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=qencodebench · How It Works · Data refreshed daily, snapshot 2026-11-12.