CCR-Bench - Content-Format Soft Satisfaction: leaderboard

Metric: Soft satisfaction rate (0-1, times 100): share of individual constraints satisfied, on CCR-Bench's 64 complex content-format instructions (2-6 tightly coupled content and format constraints each, built on high-difficulty instructions by Gemini-2.5-Pro and refined by experts), temperature 0, model-plus-rule scoring averaged over 10 assessments; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek R1 052878.3#217
2Gemini 2.5 Pro75.8#145
3O3 Mini75.5#266
4QwQ-32B71.8#410
5DeepSeek V3 (0324)70.4#332
6GPT-4.170.2#240
7Qwen 3 32B (Thinking)67.2#424 (Qwen 3 32B)
8Qwen 3 32B (Non-reasoning)65.1#424 (Qwen 3 32B)
9Qwen 2.5 72B Instruct63.1#436

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

Interactive version: theaggregate.ai/benchmark?slug=ccr-bench-content-format-soft-satisfaction · How It Works · Data refreshed daily, snapshot 2026-10-11.