Quiverai: Arrow 2 Telos
High-fidelity SVG generation model for complex vector work and long-context refinement
- Model lab
- Quiverai
- Model family
- —
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to quiverai/arrow-2-telos.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "quiverai/arrow-2-telos"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
Arrow 2 Telos API Pricing
| Type | Price information |
|---|---|
| Input · Context ≤ 131072 tokens · Maximum output 65536 tokens | USD 4.8 / 1M tokens |
| Output · Context ≤ 131072 tokens · Maximum output 65536 tokens | USD 24 / 1M tokens |
| Cached input · Context ≤ 131072 tokens · Maximum output 65536 tokens | USD 0.48 / 1M tokens |
| Cache write · Context ≤ 131072 tokens · Maximum output 65536 tokens | USD 6 / 1M tokens |
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
Arrow 2 Telos Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Arrow 2 TelosThis page | USD 4.8 / 1M tokens · Context ≤ 131072 tokens · Maximum output 65536 tokens | USD 24 / 1M tokens · Context ≤ 131072 tokens · Maximum output 65536 tokens | 1,050,000 | Image output · Reasoning · Tool calling |
| Arrow 2 | USD 3.2 / 1M tokens | USD 16 / 1M tokens | 131,072 | Image output · Reasoning · Tool calling |
| Nano Banana 2 Lite | USD 0.2 / 1M tokens | USD 1.2 / 1M tokens | 65,536 | Image output · Reasoning · Tool calling |
| Nano Banana Pro | USD 1.6 / 1M tokens | USD 9.6 / 1M tokens | 65,536 | Image output · Reasoning |
| GPT-Image-1.5 | USD 4 / 1M tokens | USD 25.6 / 1M tokens | — | Image output |
Model specifications
- Input
- text, image
- Output
- text, image
- Context window
- 1,050,000
- Maximum output
- 65,536
- Release date
- 2026-09-16
- Attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Open weights
- No
Frequently asked questions
What is Arrow 2 Telos for?
High-fidelity SVG generation model for complex vector work and long-context refinement
What inputs and outputs does Arrow 2 Telos support?
Recorded inputs: text, images; outputs: text, images.
How is Arrow 2 Telos priced?
The pricing table shows the current recorded Moduck price. For example: Input · Context ≤ 131072 tokens · Maximum output 65536 tokens USD 4.8 / 1M tokens; Output · Context ≤ 131072 tokens · Maximum output 65536 tokens USD 24 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Arrow 2 Telos?
Current model records list Context window 1,050,000 tokens; Maximum output 65,536 tokens.
What model parameter does the Quickstart use?
The example uses quiverai/arrow-2-telos. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.
Related models
No related catalog models are recorded for this model family.