Google: Chirp 3
google/chirp-3
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to its OpenRouter catalog listing, Chirp 3 (google/chirp-3) is a Google speech-to-text model that takes audio input and produces transcriptions. The catalog describes it as multilingual, covering 24 generally available languages and more than 77 preview languages, with automatic language detection and automatic punctuation. These are vendor-reported capabilities: the listing contains no benchmark results, so accuracy claims remain unverified in this source pack. An independent model card was not available, so audio length limits, streaming behavior, and licensing are undocumented.[1]
Strengths
Limitations
- Catalog-only evidence: no independent model card was available in this source pack and the listing includes no benchmarks, so accuracy claims are unverified.[1]
- Audio constraints (formats, duration limits, streaming) and license terms are undocumented; validate on real workloads before adoption.[1]
- Preview-language support may be less mature than the generally available languages.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Google: Chirp 3Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Chirp 3 is Google's latest multilingual speech-to-text model. It offers enhanced transcription accuracy across 24 GA languages and 77+ preview languages, with support for automatic language detection, automatic punctuation, and...
Specifications
- Model ID
- google/chirp-3
- Creator
- Added to OpenRouter
- 05.05.2026
- Context length
- 0
- Modality
- audio->transcription
- Input modalities
- audio
- Output modalities
- transcription
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | input: audio |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| 0 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.