Cartesia Ink 2 (Streaming)
Up to 30%Cartesia Ink 2 (Streaming) brings streaming speech-to-text speech-to-text to LLM.API for voice notes, calls, and caption pipelines.
What is Cartesia Ink 2 (Streaming)?
Cartesia Ink 2 (Streaming) is a speech-to-text model on LLM.API (`ink-2`). Streaming speech-to-text model by Cartesia. Feed audio and receive text transcripts for captions, agents, and searchable archives.
Providers
LLM.API routes Cartesia Ink 2 (Streaming) to the providers below, with discounted effective rates versus list price.
| Provider | Pricing | Context | Capabilities |
|---|---|---|---|
| in $0.013; out — per minute of audio | — | — |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.
Try this model
Test Cartesia Ink 2 (Streaming) right here — free to start.
Suggestions for your first prompt
Code snippet
Call Cartesia Ink 2 (Streaming) through the OpenAI-compatible API — STT via LLM.API (see docs for audio endpoints).
from openai import OpenAI
client = OpenAI(
api_key="YOUR_LLMAP_KEY",
base_url="https://api.llmapi.ai/v1",
)
resp = client.chat.completions.create(
model="ink-2",
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){
"model": "ink-2",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}5 Core Capabilities
Caption generation
Produces base transcripts for subtitle workflows. Relevant for `ink-2` workloads on LLM.API.
Speech transcription
Converts spoken audio into text for captions, notes, and search. Reflects streaming speech-to-text positioning for this endpoint.
Compliance archives
Creates text records of spoken interactions for audit trails. Relevant for `ink-2` workloads on LLM.API.
Meeting capture
Fits voice notes, calls, and meeting recording pipelines. Relevant for `ink-2` workloads on LLM.API.
Voice UX input
Powers voice-driven product interfaces and IVR handoffs. Relevant for `ink-2` workloads on LLM.API.
6 Most Valuable Use Cases
- Call-center transcription and QA with Cartesia Ink 2 (Streaming)
- Meeting notes and searchable recordings
- Compliance recording text archives with Cartesia Ink 2 (Streaming)
- Feeding voice input into LLM agents
- Voice command capture in mobile apps with Cartesia Ink 2 (Streaming)
- Podcast and video caption drafts
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Intelligent AI Routing
Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.
One endpoint, every model. -
Cost-Aware Execution
Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.
More performance, less spend. -
Resilient Fallback Flows
Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.
Never go dark on users. -
Deep LLM Observability
Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.
See every token, everywhere. -
Task-Level Orchestration
Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.
Think tasks, not models. -
High-Throughput Batch APIs
Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.
Scale from 1 to millions.
Why run Cartesia Ink 2 (Streaming) on LLM.API?
Unified AI Routing
Reach Cartesia Ink 2 (Streaming) and sibling models through one OpenAI-compatible endpoint.
Cost Control
Compare provider price points and keep spend visible as you scale Cartesia Ink 2 (Streaming).
Reliability Layer
Retry and route across configured providers when a single upstream blips.
Observability
Trace prompts, tokens, and errors for Cartesia Ink 2 (Streaming) alongside the rest of your stack.
Drop-in SDKs
Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Model Breadth
Swap Cartesia Ink 2 (Streaming) for chat, media, or embedding alternatives without rewriting auth.
When to Use — When NOT to Use
Use it if...
- You will pipe transcripts into search or LLM summarization (Cartesia Ink 2 (Streaming))
- You need speech-to-text for batch or streaming audio (Cartesia Ink 2 (Streaming))
- Voice is a primary input modality in your product (Cartesia Ink 2 (Streaming))
Avoid if...
- You require guaranteed perfect transcripts for every accent without evaluation
- 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
COMMUNITY
What developers say about speech-to-text models
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 2 (Streaming).
- 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.
SOURCES
Frequently Asked Questions
Can I use tools or structured outputs with Cartesia Ink 2 (Streaming)?
Tooling support varies; for pure stt models, prefer the modalities listed rather than assuming chat tools.
How is Cartesia Ink 2 (Streaming) priced on LLM.API?
Listed pricing metadata shows: In $12.99 / 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.
What are limitations of Cartesia Ink 2 (Streaming)?
Like other API models, Cartesia Ink 2 (Streaming) can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.
What is Cartesia Ink 2 (Streaming)?
Streaming speech-to-text model by Cartesia. On LLM.API it is addressed as `ink-2`.
Is Cartesia Ink 2 (Streaming) a chat model?
No—Cartesia Ink 2 (Streaming) is categorized as a stt model. Use the matching API surface rather than assuming chat completions.
Which providers serve Cartesia Ink 2 (Streaming)?
LLM.API currently lists: cartesia. Availability can vary by region and account.
Does Cartesia Ink 2 (Streaming) support streaming?
Streaming depends on the active provider; check the providers table on this page for flags.
What modalities does Cartesia Ink 2 (Streaming) support?
Cartesia Ink 2 (Streaming) accepts audio and produces text according to its architecture metadata on LLM.API.
What is the context length for Cartesia Ink 2 (Streaming)?
Reported context for Cartesia Ink 2 (Streaming) is See provider specs. Always verify the active provider row if multiple providers are listed.
How do I call Cartesia Ink 2 (Streaming) via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "ink-2" and your LLM.API key. See the code snippet on this page.
Does Cartesia Ink 2 (Streaming) 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.
When should I choose Cartesia Ink 2 (Streaming)?
You need speech-to-text for batch or streaming audio — especially when you specifically need Cartesia Ink 2 (Streaming).
COMPARE
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