Vispark: Vision Medium
Balanced multimodal model pairing a 1M-token context window with deeper reasoning for analysis, content creation, and tool use across text, image, audio, video, and PDF inputs.
- Model lab
- Vispark
- 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 vispark/vision-medium.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "vispark/vision-medium"
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.
Vision Medium API Pricing
| Type | Price information |
|---|---|
| Input | USD 3.368 / 1M tokens |
| Output | USD 10.104 / 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.
Vision Medium Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Vision MediumThis page | USD 3.368 / 1M tokens | USD 10.104 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Vision Large | USD 5.896 / 1M tokens | USD 17.688 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Vision Small | USD 0.84 / 1M tokens | USD 2.528 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Gemini 4 Argon | USD 1.6 / 1M tokens | USD 8 / 1M tokens | 1,048,576 | Text output · Reasoning · Tool calling |
| Muse Wonder | USD 3.2 / 1M tokens | USD 16 / 1M tokens | 1,048,576 | Text output · Reasoning · Tool calling |
Model specifications
- Input
- text, image, audio, video, pdf
- Output
- text
- Context window
- 1,000,000
- Maximum output
- 65,536
- Release date
- 2024-05-15
- Attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- Yes
- Open weights
- No
Frequently asked questions
What is Vision Medium for?
Balanced multimodal model pairing a 1M-token context window with deeper reasoning for analysis, content creation, and tool use across text, image, audio, video, and PDF inputs.
What inputs and outputs does Vision Medium support?
Recorded inputs: text, images, audio, video, PDF; outputs: text.
How is Vision Medium priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 3.368 / 1M tokens; Output USD 10.104 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Vision Medium?
Current model records list Context window 1,000,000 tokens; Maximum output 65,536 tokens.
What model parameter does the Quickstart use?
The example uses vispark/vision-medium. 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.