# Phonic-1 Benchmark Scores & Performance

> Phonic-1 has Phonic launch evaluation results. Voice evidence is display-only and does not produce a text-model score.

Canonical page: https://benchlm.ai/models/phonic-1

Last updated: October 29, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Phonic |
| Source Type | Proprietary |
| Reasoning Type | Reasoning |
| Context Window | N/A |
| Official model card | [Phonic model documentation](https://phonic.ai/blog/phonic-1) |
| Overall Score | Not scored (voice evidence only) |
| Overall Rank | Unranked |

## Family & Coverage

- Family: Phonic-1
- Variant: base
- Benchmarks covered: 0 of 725
- Coverage note: Speech and voice results appear below; no weighted text-model benchmark rows are stored.

## Speech and voice evidence

[Phonic-1 launch evaluation](/voice-benchmarks/phonic-1-launch-evaluation)

Phonic selected the competitors, settings and figures. It attributes the index, τ³-Voice, latency, Big Bench Audio and cost rows to Artificial Analysis, the multilingual τ³-Voice row to Sierra and the S2S row to Cekura, all dated October 29, 2026; those evaluators’ own pages were not re-checked for every cell, and the third-party figures are not licensed here for Data API redistribution. The Cekura row is pass³ reliability, which matches Cekura’s public board. GPT-Live-1 runs with GPT-6 Astra at medium effort in the Artificial Analysis rows but with GPT-6 Sol at low effort on Cekura. The cascade uses Deepgram Nova-3, GPT-4.1 and Deepgram Aura-1 for τ³-Voice (run by Sierra) and Deepgram Flux, GPT-4.1 and ElevenLabs Flash v2.5 for Cekura. The listener-preference study was run by Podonos for Phonic; the post’s prose rounds the human win rate to about 60% while the chart shows 57.0%. These results do not enter text-model rankings.

| Metric | Result |
| --- | --- |
| Speech-to-speech index (Phonic-quoted) | 87.1 |
| τ³-Voice overall (retail, airline, telecom) | 79.9% |
| Sierra multilingual τ³-Voice | 83.2% |
| Cekura S2S pass³ reliability | 90.2% |
| Time to first audio | 0.61 s |
| Big Bench Audio | 98.9% |

Phonic launch table retrieved October 29, 2026, at the high intelligence setting. Phonic attributes the index, τ³-Voice, latency, Big Bench Audio and cost rows to Artificial Analysis, the multilingual row to Sierra and the last row to Cekura; latency is lower-is-better. Voice results are display-only.

- [Evaluation source](https://phonic.ai/blog/phonic-1)

Available since October 29, 2026 through Phonic’s hosted agent platform and API, with 51 documented agent languages. Phonic has not published a public model ID; Cekura’s benchmark setup calls it `phonic_v1` at the “Intelligence high” setting. No weights are published.