BenchmarkActivecategory · instruction-followingfamily · ifeval · variant IFBench

IFBench

precise instruction following with novel constraints

quality51

Updated 28 min ago · first seen 11 Sept 2026

Metric: accuracy · % ↑
Current results: 450
Models: 333
Current leader: Grok 4.3 83.3%

Score history · gpt-4.1-mini 1 row

Not enough history to chart — a single observation (38.3% on 11 Sept 2026). Rows under different configurations count separately; the list below shows each one.

38.3%aa_slug=gpt-4-1-mini · evaluator=Artificial Analysis · index_version=4.311 Sept 2026

Back to the leaderboard

Frontier over time · accuracy · evaluator=Artificial Analysis

6 leader changes recorded, all dated 11 Sept 2026 — the frontier line needs at least two distinct dates. The corpus is young: every result was first observed on the same day, so leader changes will separate in time as sources are re-crawled.

83.3%Grok 4.3 xAI Independent11 Sept 2026
81.3%Grok 4.3 xAI Independent11 Sept 2026
81.2%Grok 4.20 xAI Independent11 Sept 2026
81.0%Grok 4.3 xAI Independent11 Sept 2026
73.5%gemma-4-12B Google Independent11 Sept 2026
45.9%grok-3-mini-reasoning SpaceXAI Independent11 Sept 2026

Includes closed rows (history). A point is emitted whenever a result beats every earlier result of the same group, ordered by evaluated_at when the source publishes it, else observed_at.

Leaderboard 333 models

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Definition

Task: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 10 h agomedium
Metric: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 10 h agomedium
Metric range: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 28 min agomedium
Variant: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 28 min agomedium
Harness: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 28 min agomedium
Comparability note: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 28 min agomedium
Paper: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 10 h agomedium

Active group

accuracy · evaluator=Artificial Analysis

333 models · 450 current rows

Comparability

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Also known as

IFBench

slug ifbench · bench_01M293SPGX8Q1PSHHMPKC9R37H

Rows are grouped by comparability group = canonical metric × config_key (hash of the task-defining configuration keys: variant, evaluator, harness, shots, pass regime…). A leaderboard shows one row per canonical model: its best current row inside the group. Reasoning effort, temperature or judge differences keep rows in the same group but mark them partially comparable. delta_rank compares with the ranking built from the closed (previous) rows of the same group.