chat benchmark
VoiceBench Avg Leaderboard
VoiceBench Avg is a benchmark for evaluating LLM-based voice assistants.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
VoiceBench Avg Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelTM | Score90.10% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score74.12% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
VoiceBench Avg Highlights
The leading models and scores on this benchmark.
VoiceBench Avg Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for VoiceBench Avg
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is VoiceBench Avg?
What VoiceBench Avg measures and how its scores work.
VoiceBench evaluates LLM-based voice assistants using synthetic and real spoken instruction data with diverse speaker characteristics and environmental conditions.
It measures general knowledge, instruction-following, reasoning, and safety, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VoiceBench Avg
- Modality
- multimodal
- Primary category
- chat
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about VoiceBench Avg.
Which model scores highest on VoiceBench Avg?
Inkling-Small is currently ranked first with 90.10%.
What are the top three models on VoiceBench Avg?
The current leaders are Inkling-Small (90.10%) and Qwen2.5-Omni-7B (74.12%).
Which VoiceBench Avg model has the lowest official input price?
Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
Which models are fastest among VoiceBench Avg results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.