TTFA: Time to First Audio (ms)
About
Time in milliseconds from the end of a user utterance until the first audio byte is received from the model, measured at representative API endpoints by Artificial Analysis (P50). Sub-300 ms is generally imperceptible; 200 ms matches natural human turn-taking. Lower is better.Compare model scores alongside pricing, API availability, and release date — high benchmark score alone doesn't make a model the right pick.
How to read this benchmark
This benchmark uses a scoring system where lower is better. Scores are useful for directional filtering and model shortlisting, not for universal quality ranking.
Interpretation checklist: prefer benchmarks that are closest to your workload style, then validate against the linked model pages for pricing, context window, and provider availability.
Trust when:
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- Model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Don't trust when:
- There is only one benchmark snapshot or the dataset appears stale.
- Benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
Current modeled score band for tracked entries is roughly 1140.0 – 630.0.
Window
Jun 7
single timestamp
Mean delta
No trend
need another snapshot
Coverage
4
models in latest snapshot
Leaderboard preview (top 5)
- 1. Amazon Nova 2 Sonic1140.0
- 2. gpt-realtime-1.5820.0
- 3. Grok Voice Think Fast 1.0780.0
- 4. Gemini 2.5 Flash Live API630.0