AlpsBench - Constraint Following: leaderboard

Metric: Pass rate (0-1, times 100) of responses to user queries that must respect constraints the user stated earlier, judged pass or fail by a DeepSeek-V3.2 judge given the dialogue history; AlpsBench's 2,500 human-verified instances per task built from long-term real user-LLM dialogues in WildChat; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 7 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V3.2 (Thinking)94.19#198 (DeepSeek V3.2)
2Claude Sonnet 4.592.71#138
3GPT-5.290.83#105
4Llama 4 Maverick85.06#451
5Gemini 3 Flash (Preview)83.28#78
6Qwen 3 Max82.67#201
7GPT-4.1 Mini78.96#346

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

Interactive version: theaggregate.ai/benchmark?slug=alpsbench-constraint-following · How It Works · Data refreshed daily, snapshot 2026-10-11.