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Cartesia Ink Whisper API: Endpoint & Pricing

Transcribe speech with Cartesia Ink Whisper on LLM.API—batch or streaming audio to text with the same developer surface as your other models.

What is Cartesia Ink Whisper?

Cartesia Ink Whisper is a speech-to-text model on LLM.API (`ink-whisper`). Speech-to-text model by Cartesia. Feed audio and receive text transcripts for captions, agents, and searchable archives.


Can you self-host Cartesia Ink Whisper?

No. We found no public weights for Cartesia Ink Whisper on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Skip the deploy — use LLM.API as your endpoint

No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, up to 30% below list price.

Providers

LLM.API routes Cartesia Ink Whisper to the providers below, with discounted effective rates versus list price.

List price by provider

InputOutput
cartesia$0 in
$0 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
cartesiain $0; out — per minute of audio——

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 8 Oct 2026.

Try this model

Test Cartesia Ink Whisper right here — free to start.

Cartesia Ink Whisper
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Cartesia Ink Whisper through the OpenAI-compatible API — STT via LLM.API (see docs for audio endpoints).

Switching from OpenAI? Change 2 lines.

- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"

Everything else stays the same — SDK, message format, tools, streaming. Set model to ink-whisper and the call runs unchanged.

bash
curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ink-whisper",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ]
  }'
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAPI_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="ink-whisper",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLMAPI_KEY,
  baseURL: "https://api.llmapi.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "ink-whisper",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);
stream = client.chat.completions.create(
    model="ink-whisper",
    messages=[{"role": "user", "content": "Write a haiku about latency."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)
{
  "model": "ink-whisper",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID ink-whisper · OpenAI-compatible.

  • POST /v1/chat/completionsChat Completions — supported
FeatureStatusHow to set it
Function calling (tools)Not supportedtools, tool_choice
Parallel tool callsNot supportedparallel_tool_calls
JSON modeNot supportedresponse_format: {"type": "json_object"}
Structured outputsNot supportedresponse_format: {"type": "json_schema", …}
StreamingNot supportedstream: true
Vision (image input)Not supportedimage_url content parts
Web searchNot supportedweb_search

Errors & fallback routing

CodeWhat it meansWhat to do
401Missing or invalid API key.Send Authorization: Bearer YOUR_LLMAPI_KEY and check the key is active.
429Rate limited, or the upstream provider is throttling the request.Back off and retry with jitter; the gateway also retries the request on another provider where one is available.
5xxUpstream provider error or timeout.Retry; fallback routing sends the retry to the next healthy provider for this model.

When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.

Cartesia Ink Whisper in production

What the model is good at.

  • Voice UX input

    Powers voice-driven product interfaces and IVR handoffs.

  • Downstream LLM prep

    Feeds transcripts into summarization and action-item extractors. Tuned to how teams typically call Cartesia Ink Whisper.

  • Streaming recognition

    Supports low-latency partial transcripts when the provider offers streaming STT.

  • Compliance archives

    Creates text records of spoken interactions for audit trails. Tuned to how teams typically call Cartesia Ink Whisper.

  • Meeting capture

    Fits voice notes, calls, and meeting recording pipelines. Relevant for `ink-whisper` workloads on LLM.API.

What you get when you call Cartesia Ink Whisper through LLM.API.

  • Unified AI Routing

    Production: Reach Cartesia Ink Whisper and sibling models through one OpenAI-compatible endpoint.

    One endpoint, every model.
  • Cost Control

    Compare provider price points and keep spend visible as you scale Cartesia Ink Whisper.

    More performance, less spend.
  • Reliability Layer

    Practical: Retry and route across configured providers when a single upstream blips.

    Never go dark on users.
  • Observability

    Production: Trace prompts, tokens, and errors for Cartesia Ink Whisper alongside the rest of your stack.

    See every token, everywhere.
  • Drop-in SDKs

    Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

    Think tasks, not models.
  • Model Breadth

    Practical: Swap Cartesia Ink Whisper for chat, media, or embedding alternatives without rewriting auth.

    Scale from 1 to millions.

When to Use — When NOT to Use

Use it if...

  • You need speech-to-text for batch or streaming audio (Cartesia Ink Whisper)
  • You will pipe transcripts into search or LLM summarization (Cartesia Ink Whisper)
  • Voice is a primary input modality in your product (Cartesia Ink Whisper)

Avoid if...

  • You need text-to-speech or chat generation instead of transcription
  • Your audio cannot leave your compliance boundary and you lack an approved provider path
  • You require guaranteed perfect transcripts for every accent without evaluation

LLM API rating for Cartesia Ink Whisper

★ 2.6/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & value
Estimated from published specs
2.5Production adoptionNot yet tracked — no public usage data for this release
2.8Benchmark qualityNo public Arena rank — scored on declared reasoning support
2.4Developer ecosystemContext window, tool and JSON support, price against the category median
Reasoning & chat 2.6Coding 2.4Voice & audio 2.6
How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

  1. Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
  2. Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
  3. Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

What developers say about speech-to-text models

LMArena—Speed—Sources: LMArena, Artificial Analysis

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Cartesia Ink Whisper.

  • Head-to-head tests of the leading APIs land within a point or two of each other; the choice usually comes down to language coverage, streaming latency and batch pricing.
  • Voice-agent developers report streaming latency and endpointing quality matter more in production than headline word-error rates.
  • Whisper-family models remain the default open baseline, with hosted providers winning on real-time features and diarization.

Frequently Asked Questions

  • Can I use tools or structured outputs with Cartesia Ink Whisper?

    Tooling support varies; for pure stt models, prefer the modalities listed rather than assuming chat tools.

  • What are limitations of Cartesia Ink Whisper?

    Like other API models, Cartesia Ink Whisper can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • When should I choose Cartesia Ink Whisper?

    Voice is a primary input modality in your product — especially when you specifically need Cartesia Ink Whisper.

  • Does Cartesia Ink Whisper translate speech?

    Primary behavior is transcription to text. Translation—if needed—should be a separate step with a chat model unless the provider explicitly offers it.

  • How is Cartesia Ink Whisper priced on LLM.API?

    Listed pricing metadata shows: In $2.17 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Which providers serve Cartesia Ink Whisper?

    LLM.API currently lists: cartesia. Availability can vary by region and account.

  • How do I call Cartesia Ink Whisper via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "ink-whisper" and your LLM.API key. See the code snippet on this page.

  • What modalities does Cartesia Ink Whisper support?

    Cartesia Ink Whisper accepts audio and produces text according to its architecture metadata on LLM.API.

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