IFBench B
AI benchmark · Instruction Following
- Domains
- Instruction Following
- Tier
- B why
- Snapshot
What is IFBench?
IFBench evaluates precise instruction-following generalization on 58 challenging, verifiable out-of-domain constraints. Unlike IFEval which tests familiar constraint types, IFBench specifically measures how well models follow novel instructions they haven't been optimized for, exposing overfitting to common instruction patterns.
Tier B
Established: 15 or more models scored, or curated RL directories rate it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 47 models scored
- in curated RL directories (2 pts)
On X · well regarded, low buzz, from 3 posts about IFBench in the last month
Small accounts use IFBench as a standard instruction-following measure for prompt adaptation and quantization tests; no criticism, but little broad discussion.
How we got to tier B
- Adoption: 47 models scored. Tier B.
- On X: well regarded, low buzz. “Small accounts use IFBench as a standard instruction-following measure for prompt adaptation and quantization tests; no criticism, but little broad discussion.” No move.
- In curated RL directories: 2 points, a floor of C.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.