Moduck

Cohere: Command R7B

Cohere retrieval model for long-context chat and enterprise RAG workflows

Model lab
Cohere
Model family
command-r

Model resources

Modalitiestext → text
Context window128,000
Maximum output4,000
InputUSD 0.03 / 1M tokens
OutputUSD 0.12 / 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 cohere/command-r7b-12-2024.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "cohere/command-r7b-12-2024"

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.

Command R7B API Pricing

TypePrice information
InputUSD 0.03 / 1M tokens
OutputUSD 0.12 / 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

Throughput87.5 tok/sCurrent
Time to first token1.4 sCurrent
End-to-end latency7.8 sCurrent
Throughput
Current87.5 tok/s
Window average88.9 tok/s
Time to first token
Current1.4 s
Window average1.4 s
End-to-end latency
Current7.8 s
Window average7.5 s
Tail latency (P99)
Current15.8 s
Window average16.9 s
Prompt cache hit rate
Current18.1%
Window average24.7%
Error rate
Current0.0%
Window average0.2%

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

Command R7B Compare models

ModelInput priceOutput priceContext windowCapabilities
Command R7BThis pageUSD 0.03 / 1M tokensUSD 0.12 / 1M tokens128,000Text output · Tool calling
Command R7B ArabicUSD 0.03 / 1M tokensUSD 0.12 / 1M tokens128,000Text output · Tool calling
Command RUSD 0.12 / 1M tokensUSD 0.48 / 1M tokens128,000Text output · Tool calling
Command R+USD 2 / 1M tokensUSD 8 / 1M tokens128,000Text output · Tool calling
Command A TranslateUSD 2 / 1M tokensUSD 8 / 1M tokens8,000Text output · Tool calling

Model specifications

Input
text
Output
text
Context window
128,000
Maximum output
4,000
Release date
2024-12-02
Attachments
No
Reasoning
No
Tool calling
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Command R7B for?

Cohere retrieval model for long-context chat and enterprise RAG workflows

What inputs and outputs does Command R7B support?

Recorded inputs: text; outputs: text.

How is Command R7B priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.03 / 1M tokens; Output USD 0.12 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Command R7B?

Current model records list Context window 128,000 tokens; Maximum output 4,000 tokens.

What model parameter does the Quickstart use?

The example uses cohere/command-r7b-12-2024. 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.