reasoning benchmark
VoiceBench Avg Leaderboard
VoiceBench is the first benchmark designed to provide a multi-faceted evaluation of LLM-based voice assistants, evaluating capabilities including general knowledge, instruction-following, reasoning, and safety using both synthetic and real spoken instruction data with diverse speaker characteristics and environmental conditions.
Updated Aug 17, 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 | Score90.1% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score74.1% | Percentile0.0% | 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.
Ranking basisThis voicebench avg AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01TMInkling-SmallThinking Machines Lab
- Score
- 90.1%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures VoiceBench Avg, not total model capability
- 02ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team
- Score
- 74.1%
- Price
- $0.10 input / $0.40 output per 1M tokens
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures VoiceBench Avg, not total model capability
Selection summary
Best AI Models for VoiceBench Avg
Inkling-Small currently leads VoiceBench Avg with 90.1%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is VoiceBench Avg?
What VoiceBench Avg measures and how its scores work.
VoiceBench is the first benchmark designed to provide a multi-faceted evaluation of LLM-based voice assistants, evaluating capabilities including general knowledge, instruction-following, reasoning, and safety using both synthetic and real spoken instruction data with diverse speaker characteristics and environmental conditions.
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
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- voicebench-avg|llm-stats-current
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 90.1%.
What does VoiceBench Avg measure?
VoiceBench is the first benchmark designed to provide a multi-faceted evaluation of LLM-based voice assistants, evaluating capabilities including general knowledge, instruction-following, reasoning, and safety using both synthetic and real spoken instruction data with diverse speaker characteristics and environmental conditions.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.