IF-RewardBench - Constraint Assessment (Single-Turn): leaderboard

Metric: Kendall tau-b (-1 to 1) between the quality scores implied by the judge's per-constraint verdicts (share of checklist constraints judged followed) and the human-verified preference graph, on the 393 single-turn interaction instructions; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 14 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro0.64#77
2Gemini 3 Flash0.56#93
3GPT-5 Mini0.52#176
4GPT-5.10.51#131
5GLM-4.6 (Thinking)0.43#246 (GLM-4.6)
6DeepSeek V3.20.36#198
7QwQ-32B0.34#410
8GLM 4.5 Air (Thinking)0.26#377 (GLM 4.5 Air)
9Qwen 3 32B (Thinking)0.24#424 (Qwen 3 32B)
10Qwen 3 8B (Thinking)0.22#667 (Qwen 3 8B)
11Llama 3.3 70B Instruct0.2#520
12Qwen 2.5 72B Instruct0.15#436
13Qwen 2.5 7B Instruct0.09#846
14Llama 3.1 8B Instruct0.02#1018

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=if-rewardbench-constraint-assessment-single-turn · How It Works · Data refreshed daily, snapshot 2026-10-11.