# Jamba Mini 1.6 API Pricing

As of October 10, 2026, Jamba Mini 1.6 costs $0.20 per 1M input tokens and $0.40 per 1M output tokens on AI21 Labs. It has a 256,000-token context window and returns up to 256,000 tokens per response.

- Page: https://models.litellm.ai/models/jamba-mini-1.6
- Lab: AI21 Labs
- LiteLLM model name: `jamba-mini-1.6`
- Context window: 256,000 tokens
- Max output: 256,000 tokens
- Added to LiteLLM: March 2025
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| AI21 Labs | `jamba-mini-1.6` | $0.20 | $0.40 | – | – | – | 256K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- AI21 Labs: $0.60

100 long-document requests with 100,000 input and 2,000 output tokens each:

- AI21 Labs: $2.08

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="jamba-mini-1.6",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Jamba Mini 1.6 cost?

Jamba Mini 1.6 costs $0.20 per 1M input tokens and $0.40 per 1M output tokens on AI21 Labs.

### What is the context window of Jamba Mini 1.6?

Jamba Mini 1.6 has a 256,000-token context window and returns up to 256,000 tokens per response.

### Which providers offer Jamba Mini 1.6?

Jamba Mini 1.6 is available from AI21 Labs through LiteLLM, using the model name jamba-mini-1.6.

### How do I call Jamba Mini 1.6 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="jamba-mini-1.6", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### When did LiteLLM add Jamba Mini 1.6?

Jamba Mini 1.6 was added to LiteLLM's model price file in March 2025.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json
