EVA-Bench - Conversation Progression: 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). Conversation progression in percent: an LLM judge's 1-3 rating, rescaled to 0-100, of whether the agent moves the call toward resolution without repeating itself, losing context, stalling or backtracking, over five clean-audio trials per scenario, averaged equally over the three domains; higher is better.

Metric: Conversation progression (%; 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 5.582.06
2Scribe v2.2 Realtime + Gemini 3 Flash + TTS Conversational v3 (ElevenAgents)80.42
3Scribe v2.2 Realtime + GPT-5.4 + Eleven Flash v2 (ElevenAgents)76.61
4Flux General Multi + GPT-5.4 + Sonic 3.576.03
5Scribe v2.2 Realtime + Claude Haiku 4.5 + Eleven Flash v2 (ElevenAgents)75.08
6Gemini 3.8 Live73.77
7Universal 3.5 Pro + GPT-5.4 + Sonic 3.573.53
8Ink 2 + Haiku 4.5 + Sonic 3.571.87
9GPT Realtime 1.567.93
10Apriel Voice 27B + Sonic 3.567.76

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