AI21 Labs: Jamba Mini
AI21's efficient, lightweight hybrid SSM-Transformer model for a wide range of tasks
- Model lab
- AI21 Labs
- Model family
- jamba
Model resources
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to ai21/jamba-mini.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "ai21/jamba-mini"
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.
Jamba Mini API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.16 / 1M tokens |
| Output | USD 0.32 / 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.
Jamba Mini Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Jamba MiniThis page | USD 0.16 / 1M tokens | USD 0.32 / 1M tokens | 256,000 | Text output · Tool calling |
| Jamba Large | USD 1.6 / 1M tokens | USD 6.4 / 1M tokens | 256,000 | Text output · Tool calling |
| Beam 1.0 501B A23B | USD 0.2 / 1M tokens | USD 0.8 / 1M tokens | 1,048,576 | Text output · Reasoning · Tool calling |
| Ling 3.1 Flash | USD 0.06 / 1M tokens | USD 0.176 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Schematron V2 Small | USD 0.04 / 1M tokens | USD 0.184 / 1M tokens | 128,000 | Text output |
Model specifications
- Input
- text
- Output
- text
- Context window
- 256,000
- Maximum output
- 4,096
- Release date
- 2026-01-01
- Attachments
- No
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is Jamba Mini for?
AI21's efficient, lightweight hybrid SSM-Transformer model for a wide range of tasks
What inputs and outputs does Jamba Mini support?
Recorded inputs: text; outputs: text.
How is Jamba Mini priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.16 / 1M tokens; Output USD 0.32 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Jamba Mini?
Current model records list Context window 256,000 tokens; Maximum output 4,096 tokens.
What model parameter does the Quickstart use?
The example uses ai21/jamba-mini. 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.