EVA-Bench Accuracy (EVA-A pass@1)
ServiceNow's open-source end-to-end benchmark for enterprise voice agents: simulated callers (ElevenLabs user simulator) run full spoken conversations across airline, ITSM and HR/medical scenarios. EVA-A pass@1 is the share of trials where every accuracy metric (task completion, speech fidelity, faithfulness) clears its threshold, averaged over scenarios with 5 trials each. Pooled across the three domains, clean audio. Kept separate from the EVA-X experience axis.
Models ranked
1
tracked on this benchmark
Score band
73.7 – 73.7
best → lowest tracked
Snapshot trend
—
need ≥2 snapshots
Leaderboard
Tracked models ranked by EVA-A pass@1 (%) (higher is better).
Configuration: Grok Voice 3.0 (speech-to-speech)
Notes: Benchmark-owner board: ServiceNow EVA-Bench results site (servicenow.github.io/eva, data file website/src/data/leaderboardStats.json in github.com/ServiceNow/eva at main 8e101906; Grok Voice 3.0 added in commit e5772533 'add grok results', 2026-10-13). System 'Grok Voice 3.0' (id grok-voice-3-0, type s2s). Clean condition, pooled over airline (n=50), ITSM (n=80) and medical_hr (n=83) scenarios, 5 trials each. EVA-A_pass pooled point 0.7371519410977241 (95% CI 0.6906-0.7805), stored as percent rounded to 2 decimals. Retrieved 2026-11-09.
How to read this benchmark
This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
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Last reviewed: Nov 9, 2026