LLM Reference
TTFAactiveAudio

TTFA: Time to First Audio (ms)

Metric: ms (lower is better)Introduced: 2024

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. High benchmark score alone doesn't make a model the right pick — weigh it against pricing, API availability, and release date.

Models ranked

4

tracked on this benchmark

Score band

630.0 – 1140.0

best → lowest tracked

Snapshot trend

need ≥2 snapshots

Leaderboard

Tracked models ranked by ms (lower is better).

Compare candidates
#Model variant and provenanceScore
1
Gemini 2.5 Flash Live API
Version: p50-msHarness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
630.0
2
Grok Voice Think Fast 1.0
Version: p50-msHarness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
780.0
3
gpt-realtime-1.5
Version: p50-msHarness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
820.0
4
Amazon Nova 2 Sonic
Version: p50-msHarness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
1140.0

How to read this benchmark

This benchmark scores models where lower is better. Scores are useful for directional filtering and shortlisting — not for universal quality ranking. Prefer benchmarks closest to your workload, then validate the linked model pages for pricing, context window, and provider availability.

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.

FAQ

What does the TTFA benchmark measure?

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. On this page it lists 4 tracked model variants where lower is better.

Is a higher Time to First Audio (ms) score always better?

For this benchmark, lower is better. A high score helps you shortlist, but confirm pricing, context window, and provider availability on each model page before committing — the top scorer is not always the right pick for your workload or budget.

How current is this Time to First Audio (ms) data?

This benchmark was last reviewed on Jun 7, 2026. Re-check the linked model pages for the freshest provider and pricing detail.

Related benchmarks

Last reviewed: Jun 7, 2026

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