Speech Agent Arena
People hold live conversations with two hidden speech-to-speech agents on the same scenario, some with tool calls, then pick the one they preferred. Votes are fit to an Elo rating, and the arena also tracks task success.
Ratings move as votes arrive, so a lab post freezes a value that later drifts.
- Made by
- Artificial Analysis
- Released
- August 2026
- Kind
- Speech recognition and translation
- Level
- Everyday
- Scored
- Ranked by votes
- Answers
- Agent task
- Tasks
- All public
- Last in a launch post
- October 2026
- Last model added
- October 2026
Only Grok Voice 3.0 has a rating here, from its lab’s own post
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs. A rating ranks a model only against others rated in the same arena at the same time, so these don’t show who leads. Artificial Analysis doesn’t allow reuse of its data, so we link to its board instead. See the live leaderboard on artificialanalysis.ai
Bars start at 1,016.5.
- 1 Grok Voice 3.0 1,070
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Grok Voice 3.0 | 1,070 | Oct 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
One lab put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Oct 14, 2026 | Grok Voice 3.0 | 1070 | Speech Agent Arena human preference Elo |
More in Audio and video
- Video-MMMU In use 300 expert-level lecture videos with questions testing perception, comprehension and adaptation of knowledge. Accuracy.
Qwen 3.8 Max 88.7% - LVBench In use Hours-long video understanding with multiple-choice questions on reasoning, grounding and summarization.
Gemini 4 Argon 91.7% - MMVU In use 3,000 expert-annotated questions on videos across 27 disciplines. Multiple-choice and open-ended accuracy. Qwen 3.8 Max 82.4%
- MLVU In use Multi-task long video understanding (minutes to hours) with multiple-choice and generation tasks. Accuracy. Qwen 3.8 Max 90.8%
- FLEURS In use Models transcribe read speech in 102 languages built from FLoRes-101 sentences. Model cards usually report word error rate, so lower scores are better.
Phi-4-multimodal 4.00% - VoiceBench In use Spoken instructions with speaker, environment and content variation. Voice assistant responses scored by GPT judge or rules. Qwen3.5-Omni-Plus 93.1%