AbstentionBench - answer unknown - BB/Known unknowns - F1: leaderboard

AbstentionBench evaluates whether a model appropriately declines unanswerable or underspecified questions. This slice reports answer unknown - BB/Known unknowns - F1 as Abstention F1 (%); values converted from 0-1 to percent. Precision and recall must be read together: always abstaining is not necessarily useful. Scenario/dataset pairs and SFT/DPO/RL checkpoints remain separate; no synthetic overall average. Source: facebookresearch/AbstentionBench analysis/abstention_performance.csv.

Metric: Abstention F1 (%). Source: github.com. Saturation forecast: Estimated already saturated. 20 models tracked.

Top models

#ModelScoreOverall rank
1Llama 3.3 70B Instruct100#541
2Qwen 2.5 32B Instruct100#509
3Llama 3.1 70B Instruct97.87#567
4Gemini 1.5 Pro97.87#454
5O197.87#190
6Llama-3.1-Tulu-3-70B97.87#499
7GPT-4o97.78#357
8Llama 3.1 8B Instruct95.83#1017
9Llama 3.1 405B Instruct95.83#470
10Llama-3.1-Tulu-3-70B-DPO95.83#732
11Llama-3.1-Tulu-3-8B95.65#848
12Llama-3.1-Tulu-3-8B-SFT93.33#977
13Mistral 7B Instruct (v0.3)92#1255
14OLMo-7B-0724-Instruct-hf92#1441
15Llama-3.1-Tulu-3-8B-DPO88#992

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=abstentionbench-answer-unknown-bb-known-unknowns-f1 · How It Works · Data refreshed daily, snapshot 2026-11-05.