Attune B
AI benchmark · Multi-Domain
- Publisher
- Pareto
- Domains
- Multi-Domain Tool Use
- On X
- @pareto_ai ↗
- Tier
- B why
- Snapshot
Latest from Pareto on X
@pareto_ai ↗What is Attune?
AttuneBench measures LLM emotional intelligence by having models predict real participants' self-labeled emotions, observed behaviors, and preferred responses across 200 real multi-turn conversations.
General capability mostly
“AttuneBench scores LLMs on each of those abilities (perceiving emotion, understanding it, using it to guide thought, and managing it in interaction).”
pareto.ai/blog/introducing-attunebench ↗“Emotion-tracking accuracy drops 35% for participants reporting any mental health diagnosis (0.310 → 0.202, 11/11 models).”
pareto.ai/blog/introducing-attunebench ↗
Who built Attune
Led by Thoughtful Lab.
Pareto built it with others
“This work was a collaboration between Pareto AI’s Research team, led by Mark Whiting, and Thoughtful Lab, led by Karina Nguyen.”
pareto.ai/blog/introducing-attunebench ↗
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.
- built by Pareto
- in curated RL directories (3 pts)
How we got to tier B
- Adoption: built by Pareto. Tier C.
- Not yet read on X.
- In curated RL directories: 3 points, a floor of B. Raised to B.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Training methods
Methods Attune uses, offers or builds for, with public evidence: its own website says so, or two independent sites do.
- GRPO Group Relative Policy Optimization On its own website
“To explore whether learning efficiency is a trainable property, we fine-tuned Llama 3.1 8B-IT using offline GRPO on more than 5,000 trajectories from 29 biology training tasks, with the cumulative trajectory metric as the reward target. The resulting model demonstrated improved learning efficiency on 14 of 21 held-out tasks, which…”
pareto.ai
Where Attune sits
Its realm in the universe, live. Hover a star for its name; click to open it. Open it in the universe
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.