Arena ranking
Agent Praise Complaint Leaderboard
Browse Agent Praise Complaint results, model ratings and supporting selection context.
Data as of 2026-09-08
Agent Praise Complaint Ranking
This source leaderboard ranking orders models by their original Arena rank rather than an aggregated benchmark score.
Sort by
Rank | Model | Source Agent score | LLMBoard Score | Observations | Official input / 1M | Output speed |
|---|
| Rank01 | ModelAN | Source Agent score42.45% | LLMBoard ScoreN/A | Observations680 | Official input / 1M$10 | Output speed7.67 tok/s |
| Rank02 | ModelOP | Source Agent score22.07% | LLMBoard ScoreN/A | Observations7.8K | Official input / 1M$4 | Output speed2.36 tok/s |
| Rank03 | ModelAN | Source Agent score19.36% | LLMBoard ScoreN/A | Observations9K | Official input / 1M$10 | Output speed43.18 tok/s |
| Rank04 | ModelAN | Source Agent score18.27% | LLMBoard ScoreN/A | Observations6.7K | Official input / 1M$5 | Output speed62.88 tok/s |
| Rank05 | ModelAN | Source Agent score18.04% | LLMBoard ScoreN/A | Observations8.4K | Official input / 1M$5 | Output speed42.00 tok/s |
| Rank06 | ModelGO | Source Agent score14.25% | LLMBoard ScoreN/A | Observations1.6K | Official input / 1M$0.75 | Output speed51.56 tok/s |
| Rank07 | ModelMA | Source Agent score14.03% | LLMBoard ScoreN/A | Observations28.8K | Official input / 1M$3 | Output speedN/A |
| Rank08 | ModelZA | Source Agent score11.73% | LLMBoard ScoreN/A | Observations15.4K | Official input / 1M$1.4 | Output speed3.96 tok/s |
| Rank09 | ModelOP | Source Agent score11.41% | LLMBoard ScoreN/A | Observations12.8K | Official input / 1M$5 | Output speed134.94 tok/s |
| Rank10 | ModelAN | Source Agent score11.19% | LLMBoard ScoreN/A | Observations5.9K | Official input / 1M$2 | Output speed42.00 tok/s |
| Rank11 | ModelTE | Source Agent score10.26% | LLMBoard ScoreN/A | Observations2.3K | Official input / 1MN/A | Output speedN/A |
| Rank12 | ModelAN | Source Agent score10.01% | LLMBoard ScoreN/A | Observations8.2K | Official input / 1M$5 | Output speed42.00 tok/s |
| Rank13 | ModelAN | Source Agent score6.76% | LLMBoard ScoreN/A | Observations9.5K | Official input / 1M$5 | Output speed123.15 tok/s |
| Rank14 | ModelAC | Source Agent score6.58% | LLMBoard ScoreN/A | Observations5.4K | Official input / 1M$2 | Output speed60.87 tok/s |
| Rank15 | ModelZA | Source Agent score5.75% | LLMBoard ScoreN/A | Observations14K | Official input / 1M$1.4 | Output speed472.69 tok/s |
| Rank16 | ModelZA | Source Agent score5.45% | LLMBoard ScoreN/A | Observations5.4K | Official input / 1M$0.075 | Output speed74.28 tok/s |
| Rank17 | ModelDE | Source Agent score5.24% | LLMBoard ScoreN/A | Observations7.2K | Official input / 1MN/A | Output speed45.48 tok/s |
| Rank18 | ModelXA | Source Agent score5.07% | LLMBoard ScoreN/A | Observations7.9K | Official input / 1M$2 | Output speed80.00 tok/s |
| Rank19 | ModelMA | Source Agent score5.02% | LLMBoard ScoreN/A | Observations1.8K | Official input / 1M$0.95 | Output speed1.24 tok/s |
| Rank20 | ModelDE | Source Agent score3.90% | LLMBoard ScoreN/A | Observations13.7K | Official input / 1M$0.14 | Output speed15.91 tok/s |
| Rank21 | ModelXA | Source Agent score3.77% | LLMBoard ScoreN/A | Observations5.3K | Official input / 1M$2 | Output speed132.69 tok/s |
| Rank22 | ModelOP | Source Agent score1.41% | LLMBoard ScoreN/A | Observations5.2K | Official input / 1M$2 | Output speed99.35 tok/s |
| Rank23 | ModelGO | Source Agent score1.11% | LLMBoard ScoreN/A | Observations25.1K | Official input / 1M$2 | Output speed43.79 tok/s |
| Rank24 | ModelMA | Source Agent score0.99% | LLMBoard ScoreN/A | Observations1.7K | Official input / 1M$0.95 | Output speedN/A |
| Rank25 | ModelAC | Source Agent score0.78% | LLMBoard ScoreN/A | Observations5.6K | Official input / 1MN/A | Output speedN/A |
| Rank26 | ModelOP | Source Agent score0.71% | LLMBoard ScoreN/A | Observations16.7K | Official input / 1M$2.5 | Output speed50.00 tok/s |
| Rank27 | ModelAC | Source Agent score0.24% | LLMBoard ScoreN/A | Observations3.4K | Official input / 1MN/A | Output speedN/A |
| Rank28 | ModelOP | Source Agent score-0.22% | LLMBoard ScoreN/A | Observations5.4K | Official input / 1M$0.20 | Output speed41.87 tok/s |
| Rank29 | ModelAN | Source Agent score-0.50% | LLMBoard ScoreN/A | Observations10.7K | Official input / 1M$3 | Output speed7.67 tok/s |
| Rank30 | ModelGO | Source Agent score-1.38% | LLMBoard ScoreN/A | Observations26.3K | Official input / 1M$1.5 | Output speed210.94 tok/s |
Source leaderboard overview
This leaderboard overview compares the source ranking, score gaps and observed task volume.
Ranked models49
SignalAgent score
Agent score and confidence
Use confidence and observed task volume to judge how firmly each leaderboard position is supported; these source proportions remain separate from benchmark coverage.
22.07%
19.36%
18.27%
18.04%
14.25%
14.03%
11.73%
11.41%
11.19%
10.26%
10.01%
Agent Praise Complaint Leaderboard Vendor Mix
Vendor representation among the top-ranked models in this leaderboard.
Top-entry vendor mix
25 modelsThe Top AI Models for Agent Praise Complaint
A practical summary of the first five entries in this agent praise complaint AI model leaderboard, with benchmark evidence and pricing kept in context.
About this leaderboard ranking
Common questions about the Agent Praise Complaint Leaderboard.
What is the top model on Agent Praise Complaint Leaderboard?
Claude Fable 5.1 is currently ranked first with 42.45 Agent score.
What are the top three models on Agent Praise Complaint Leaderboard?
The current leaders are Claude Fable 5.1 (rank #1), GPT-5.6-Sol (rank #2), and Claude Fable 5 (rank #3).
Which ranked model has the lowest official input price?
GLM 5.3 Flash has the lowest matched official input price at $0.075 per 1M tokens.
Which models are fastest on this leaderboard?
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 top source result mean the model is best at every task?
No. Source Arena results describe a particular task or preference signal. Capability benchmarks, prices and runtime can produce different rankings.