customer_experience
Ticket triage and routing
Classify and prioritize tickets into queues with structured output.
#1 Recommendation
gpt-4.1-20250414
Strong on Galileo Agent Leaderboard v2 Avg AC (100%) and Vectara HHEM Leaderboard overall_hallucination_error_pct (82%)
external/openai/gpt-4-1-20250414
22.7%
Score
33.1%
Confidence
Limited benchmark evidence for this use case.
46 ranked models with average evidence of 14.7 points. Rankings may shift as more benchmark data is ingested.
Ranked Models
30
Evidence Quality
79%
Scoring
Benchmark-backed
Top Signal
Galileo Agent Leaderboard v2: Avg AC
All Ranked Models
Compare Models
Model A leads by +1.4%
Shareable Link →Model A
gpt-4.1-20250414
external/openai/gpt-4-1-20250414
Rank #1
Galileo Agent Leaderboard v2: Avg AC
Value 100.0% · Conf 100.0% · Weight 3.5%
galileo_agent_v2.avg_ac (Mar 12, 2026)
Vectara HHEM Leaderboard: overall_hallucination_error_pct
Value 82.5% · Conf 100.0% · Weight 1.8%
vectara_hhem_leaderboard.overall_hallucination_error_pct (Mar 12, 2026)
OpenVLM OCRBench Official: ocrbench_score_pct
Value 87.7% · Conf 100.0% · Weight 1.6%
openvlm_ocrbench_official.ocrbench_score_pct (Mar 12, 2026)
OpenVLM TextVQA Official: textvqa_score_pct
Value 76.8% · Conf 100.0% · Weight 1.4%
openvlm_textvqa_official.textvqa_score_pct (Mar 12, 2026)
Model B
gemini-2.5-pro
external/google/gemini-2-5-pro
Rank #2
Galileo Agent Leaderboard v2: Avg AC
Value 58.7% · Conf 100.0% · Weight 2.0%
galileo_agent_v2.avg_ac (Mar 12, 2026)
FACTS Benchmark Suite: facts_grounding_score_pct
Value 100.0% · Conf 100.0% · Weight 1.7%
facts_benchmark_suite.facts_grounding_score_pct (Mar 12, 2026)
OpenVLM OCRBench Official: ocrbench_score_pct
Value 90.7% · Conf 100.0% · Weight 1.7%
openvlm_ocrbench_official.ocrbench_score_pct (Mar 12, 2026)
Vectara HHEM Leaderboard: overall_hallucination_error_pct
Value 76.0% · Conf 100.0% · Weight 1.6%
vectara_hhem_leaderboard.overall_hallucination_error_pct (Mar 12, 2026)
▶Ranking Diagnostics & Missing Models
Source Lift
Ranked
46
Sources
8
Quality
Insufficient
Vals MedQA
vals_medqa
34 rows
0.4% avg lift
Vals Legal Bench
vals_legal_bench
32 rows
0.4% avg lift
Vals Tax Eval v2
vals_tax_eval_v2
32 rows
0.3% avg lift
Vals LiveCodeBench
vals_lcb
30 rows
0.3% avg lift
Missing Strong Models
gpt-4o-20241120
external/openai/gpt-4o-20241120
Rank #49
10.7%
gpt-4o-2024-05-13
external/openai/gpt-4o-2024-05-13
Rank #51
10.5%
qwen/qwen3-max
external/qwen/qwen3-max
Rank #55
10.3%
openai/gpt-4o-mini-2024-07-18
external/openai/gpt-4o-mini-2024-07-18
Rank #59
9.7%
▶Taxonomy Details
Core Tasks
Required Modes
Domains
Related Use Cases
customer_experience
Agent-assist reply suggestions
Draft replies for human agents with tone and policy constraints.
Top: gemini-3-pro-preview
customer_experience
Support dialogue agent
Multi-turn support conversations with escalation and policy awareness.
Top: gemini-3-pro-preview
customer_experience
Support bot (RAG grounded)
Support chatbot grounded in docs with optional citations and escalation.
Top: gemini-3-pro-preview
customer_experience
Customer feedback theme mining
Extract themes and trends from reviews, tickets, and surveys.
Top: gemini-3-pro-preview