Cartesia
Cartesia Ink Whisper
Cartesia’s streaming speech-recognition model — 90ms time-to-first-token for real-time voice agents.
Inteligensi
91.8 #12
AAQI 92.0
Kecepatan output
260 t/s
ITL 3.8 ms/tok
Harga gabungan (3:1)
$0.008 /1M
Input $0.006/M · Output $0.012/M
Konteks
64K
≈ 160 halaman A4 · output maks 8,192
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Cartesia Ink Whisper
Claude Mythos Preview (#1)
Average (68)
Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.
Kelebihan & Trade-off
Di mana ia menang
- Fastest streaming STT — 90ms TTFT
- 260× realtime-factor transcription
- Cheapest per-minute tier among premium STT
Hal yang perlu diperhatikan
- Accuracy dips on heavy accents vs. Scribe
- Smaller language coverage than ElevenLabs
- STT only
Kasus Penggunaan Killer
Barge-in voice agents
Instant partials let agents interrupt naturally.
Live captioning
Sub-second captions for calls and streams.
Telephony analytics
Realtime intent extraction on 8kHz audio.
Quickstart Developer & API
Atur
CARTESIA_API_KEY dulu — dapatkan kunci APIcurl https://api.cartesia.ai/v1/chat/completions \
-H "Authorization: Bearer $CARTESIA_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "ink-whisper",
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.cartesia.ai/v1",
api_key=os.environ["CARTESIA_API_KEY"],
)
resp = client.chat.completions.create(
model="ink-whisper",
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(resp.choices[0].message.content)const res = await fetch("https://api.cartesia.ai/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.CARTESIA_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: "ink-whisper",
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).choices[0].message.content);Sumber Daya & Tautan Resmi
Deployment API
Bandingkan host & latensi
Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Skor per sumber
Skor per kategori
Hasil benchmark
Duel Head-to-head Live
Spesifikasi Live & Arsitektur
Di balik kap
Ink Whisper — state-space streaming STT
- State-space architecture — linear-time streaming decode
- 90ms time-to-first-transcript-token
- Endpointing tuned for conversational turn-taking
- On-device-friendly distilled variants
Tanggal rilis
6 Okt 2026
Arsitektur
Ink Whisper — state-space streaming STT
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
64,000 tokens
Output maks
8,192 tokens
Modalitas
audio
Harga cache
baca $0.002 · tulis $0.008 /1M
Penalaran
—
Harga input
$0.006/M
Harga output
$0.012/M
Kecepatan output
260 t/s
Waktu ke token pertama
—
Data diperbarui
22 Okt 2026
Estimasi tagihan bulanan
Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…
Kutip & sematkan
Badge Markdown GitHub
Loading badge markdown...BibTeX
@misc{llmpodium2026cartesiainkwhisper,
title = {Benchmark Analysis and Intelligence Evaluation of Cartesia Ink Whisper},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/cartesia-ink-whisper}
}Sematkan Lencana Skor
Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.
Pratinjau
Markdown
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