Moduck

Unbiased: Pareto

Blended multimodal model that runs multiple language models in parallel and returns a synthesized answer

Model lab
Unbiased
Model family
—
Modalitiestext, image → text
Context window262,144
Maximum output131,072
InputUSD 2 / 1M tokens
OutputUSD 6 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/unbiased/pareto.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/unbiased/pareto"

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.

Pareto API Pricing

TypePrice information
InputUSD 2 / 1M tokens
OutputUSD 6 / 1M tokens
Cached inputUSD 0.2 / 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

Throughput89.8 tok/sCurrent
Time to first token1.4 sCurrent
End-to-end latency8.0 sCurrent
Throughput
Current89.8 tok/s
Window average90.1 tok/s
Time to first token
Current1.4 s
Window average1.4 s
End-to-end latency
Current8.0 s
Window average7.5 s
Tail latency (P99)
Current13.5 s
Window average17.0 s
Prompt cache hit rate
Current31.2%
Window average23.4%
Error rate
Current0.0%
Window average0.1%

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.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Pareto Compare models

ModelInput priceOutput priceContext windowCapabilities
ParetoThis pageUSD 2 / 1M tokensUSD 6 / 1M tokens262,144Text output · Tool calling
DeepSeek V4.1 Flash 1017USD 0.028 / 1M tokens · Quantization fp4USD 0.4 / 1M tokens · Quantization fp41,000,000Text output · Reasoning · Tool calling
Mistral Large 4USD 0.544 / 1M tokensUSD 1.672 / 1M tokens1,048,576Text output · Reasoning · Tool calling
LongCat-2.5-PreviewUSD 0.6 / 1M tokensUSD 2.36 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Ember-1USD 2.4 / 1M tokensUSD 12 / 1M tokens1,048,576Text output · Reasoning · Tool calling

Model specifications

Input
text, image
Output
text
Context window
262,144
Maximum output
131,072
Release date
2026-09-17
Attachments
Yes
Reasoning
No
Tool calling
Yes
Structured output
No
Temperature setting
Yes
Open weights
No

Frequently asked questions

What is Pareto for?

Blended multimodal model that runs multiple language models in parallel and returns a synthesized answer

What inputs and outputs does Pareto support?

Recorded inputs: text, images; outputs: text.

How is Pareto priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 2 / 1M tokens; Output USD 6 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Pareto?

Current model records list Context window 262,144 tokens; Maximum output 131,072 tokens.

What model parameter does the Quickstart use?

The example uses moduck/unbiased/pareto. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

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.