EVA-Bench - Faithfulness: leaderboard

Voice agents handle simulated phone calls from an audio user simulator in 213 enterprise scenarios (airline customer service, healthcare HR and IT service management), calling tools against a scenario database; EVA-Bench (Bogavelli et al., 2026). Faithfulness in percent: an LLM judge's 1-3 rating, rescaled to 0-100, of whether the agent's statements and actions stay grounded in its instructions, the domain policy, tool results and what the caller said, over five clean-audio trials per scenario, averaged equally over the three domains; higher is better.

Metric: Faithfulness (%; mean LLM-judge rating mapped from 1-3 to 0-1); five clean-audio trials, 213 scenarios, equal mean over three domains. Source: servicenow.github.io. Saturation forecast: Rough model projection: around 2026. 25 models tracked.

Top models

#ModelScoreOverall rank
1Cartesia Managed Agents - GPT 5.577.79
2Flux General Multi + GPT-5.4 + Sonic 3.575.57
3Universal 3.5 Pro + GPT-5.4 + Sonic 3.574.57
4Grok Voice 3.066.24
5Scribe v2.2 Realtime + GPT-5.4 + Eleven Flash v2 (ElevenAgents)65.34
6Grok Voice 1.058.87
7Gemini 3.6 Flash + Gemini 3.1 Flash TTS Preview56.37
8Ink 2 + Haiku 4.5 + Sonic 3.553.58
9GPT Realtime 2.149.42
10Scribe v2.2 Realtime + Gemini 3 Flash + TTS Conversational v3 (ElevenAgents)45.72

Interactive version: theaggregate.ai/benchmark?slug=eva-bench-faithfulness · How It Works · Data refreshed daily, snapshot 2026-11-12.