Unspecified benchmark
LM Arena Agent Steerability Leaderboard
LM Arena Agent Steerability is presented as a current leaderboard.
Updated Sep 8, 2026
Models49
Model coverage49
MetricAgent Score
EvidenceA
LM Arena Agent Steerability Ranking
Higher agent score ranks better on this benchmark.
Sort by
Rank | Model | Agent Score | Percentile | Participants | Observations | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Agent Score16.09% (12.85% - 19.33%) | Percentile100.00% | Participants49 | Observations21.3K | EvidenceA | Evaluated |
| Rank02 | ModelAN | Agent Score12.59% (9.86% - 15.33%) | Percentile97.92% | Participants49 | Observations27.2K | EvidenceA | Evaluated |
| Rank03 | ModelAN | Agent Score11.89% (9.21% - 14.58%) | Percentile95.83% | Participants49 | Observations27.9K | EvidenceA | Evaluated |
| Rank04 | ModelAN | Agent Score11.52% (7.39% - 15.65%) | Percentile93.75% | Participants49 | Observations19.8K | EvidenceA | Evaluated |
| Rank05 | ModelOP | Agent Score8.88% (6.04% - 11.71%) | Percentile91.67% | Participants49 | Observations26.4K | EvidenceA | Evaluated |
| Rank06 | ModelOP | Agent Score8.54% (6.53% - 10.55%) | Percentile89.58% | Participants49 | Observations43.5K | EvidenceA | Evaluated |
| Rank07 | ModelOP | Agent Score8.54% (6.18% - 10.90%) | Percentile87.50% | Participants49 | Observations18.2K | EvidenceA | Evaluated |
| Rank08 | ModelMA | Agent Score7.73% (1.83% - 13.62%) | Percentile85.42% | Participants49 | Observations5.8K | EvidenceA | Evaluated |
| Rank09 | ModelAN | Agent Score7.27% (4.57% - 9.97%) | Percentile83.33% | Participants49 | Observations28.3K | EvidenceA | Evaluated |
| Rank10 | ModelXA | Agent Score6.84% (4.57% - 9.12%) | Percentile81.25% | Participants49 | Observations26.9K | EvidenceA | Evaluated |
| Rank11 | ModelMA | Agent Score4.68% (-0.96% - 10.33%) | Percentile79.17% | Participants49 | Observations5.8K | EvidenceA | Evaluated |
| Rank12 | ModelAN | Agent Score4.58% (2.02% - 7.14%) | Percentile77.08% | Participants49 | Observations34.3K | EvidenceA | Evaluated |
| Rank13 | ModelZA | Agent Score4.48% (3.10% - 5.86%) | Percentile75.00% | Participants49 | Observations52.5K | EvidenceA | Evaluated |
| Rank14 | ModelOP | Agent Score4.16% (2.37% - 5.94%) | Percentile72.92% | Participants49 | Observations60.5K | EvidenceA | Evaluated |
| Rank15 | ModelAC | Agent Score4.15% (1.95% - 6.34%) | Percentile70.83% | Participants49 | Observations17.1K | EvidenceA | Evaluated |
| Rank16 | ModelXA | Agent Score3.86% (1.35% - 6.37%) | Percentile68.75% | Participants49 | Observations15K | EvidenceA | Evaluated |
| Rank17 | ModelOP | Agent Score1.83% (-0.50% - 4.15%) | Percentile66.67% | Participants49 | Observations18.5K | EvidenceA | Evaluated |
| Rank18 | ModelMA | Agent Score1.24% (-0.11% - 2.59%) | Percentile64.58% | Participants49 | Observations80.6K | EvidenceA | Evaluated |
| Rank19 | ModelDE | Agent Score0.67% (-1.28% - 2.62%) | Percentile62.50% | Participants49 | Observations22K | EvidenceA | Evaluated |
| Rank20 | ModelZA | Agent Score0.63% (-0.74% - 2.01%) | Percentile60.42% | Participants49 | Observations43.7K | EvidenceA | Evaluated |
| Rank21 | ModelAN | Agent Score0.58% (-6.19% - 7.35%) | Percentile58.33% | Participants49 | Observations1.2K | EvidenceA | Evaluated |
| Rank22 | ModelZA | Agent Score0.23% (-1.88% - 2.35%) | Percentile56.25% | Participants49 | Observations15.1K | EvidenceA | Evaluated |
| Rank23 | ModelDE | Agent Score0.02% (-1.59% - 1.62%) | Percentile54.17% | Participants49 | Observations45.1K | EvidenceA | Evaluated |
| Rank24 | ModelTE | Agent Score-0.10% (-3.31% - 3.11%) | Percentile52.08% | Participants49 | Observations5.9K | EvidenceA | Evaluated |
| Rank25 | ModelTE | Agent Score-0.15% (-2.80% - 2.51%) | Percentile50.00% | Participants49 | Observations11.8K | EvidenceA | Evaluated |
| Rank26 | ModelAC | Agent Score-0.39% (-2.41% - 1.64%) | Percentile47.92% | Participants49 | Observations15.3K | EvidenceA | Evaluated |
| Rank27 | ModelMA | Agent Score-0.50% (-4.00% - 3.00%) | Percentile45.83% | Participants49 | Observations5.5K | EvidenceA | Evaluated |
| Rank28 | ModelAN | Agent Score-0.99% (-3.49% - 1.51%) | Percentile43.75% | Participants49 | Observations39K | EvidenceA | Evaluated |
| Rank29 | ModelAC | Agent Score-1.18% (-3.92% - 1.56%) | Percentile41.67% | Participants49 | Observations8.2K | EvidenceA | Evaluated |
| Rank30 | ModelZA | Agent Score-1.27% (-3.09% - 0.54%) | Percentile39.58% | Participants49 | Observations51.6K | EvidenceA | Evaluated |
LM Arena Agent Steerability Highlights
The leading models and scores on this benchmark.
LM Arena Agent Steerability Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for LM Arena Agent Steerability
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is LM Arena Agent Steerability?
What LM Arena Agent Steerability measures and how its scores work.
LM Arena Agent Steerability is a benchmark leaderboard.
It reports Agent Score as a ratio.
Scores are shown in ratio. This benchmark is verified and has an evidence level of A.
- Family
- lm-arena-agent-steerability
- Modality
- Unspecified
- Primary category
- Unspecified
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LM Arena. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about LM Arena Agent Steerability.
Which model scores highest on LM Arena Agent Steerability?
Claude Opus 5 is currently ranked first with 16.09%.
What are the top three models on LM Arena Agent Steerability?
The current leaders are Claude Opus 5 (16.09%), Claude Opus 4.8 (12.59%), and Claude Fable 5 (11.89%).
Which LM Arena Agent Steerability model has the lowest official input price?
GLM-5.3-Flash has the lowest matched official input price at $0.08 input / $0.25 output per 1M tokens.
Which models are fastest among LM Arena Agent Steerability results?
The fastest matched records are GLM-5.3 (472.69 tok/s via FriendliAI), Gemini 3.5 Flash (210.94 tok/s via Google), and GPT-5.5 (134.94 tok/s via OpenAI).
Does the highest agent score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.