Jamba Mini 1.7 API Pricing
As of October 10, 2026, Jamba Mini 1.7 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.
- Input
- $0.20 / 1M tokens
- Output
- $0.40 / 1M tokens
- Context window
- 256,000 tokens
- Max output
- 256,000 tokens
- Providers
- 1
- Added to LiteLLM
- July 2025
Jamba Mini 1.7 pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| AI21 Labs | jamba-mini-1.7 | $0.20 | $0.40 | 256K |
What Jamba Mini 1.7 costs in practice
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 Jamba Mini 1.7 with LiteLLM
Call Jamba Mini 1.7 through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="jamba-mini-1.7",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: jamba-mini-1.7
litellm_params:
model: jamba-mini-1.7
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "jamba-mini-1.7",
"messages": [{"role": "user", "content": "Hello!"}]
}'Jamba Mini 1.7 FAQ
How much does Jamba Mini 1.7 cost?
Jamba Mini 1.7 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 1.7?
Jamba Mini 1.7 has a 256,000-token context window and returns up to 256,000 tokens per response.
Which providers offer Jamba Mini 1.7?
Jamba Mini 1.7 is available from AI21 Labs through LiteLLM, using the model name jamba-mini-1.7.
How do I call Jamba Mini 1.7 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="jamba-mini-1.7", 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 1.7?
Jamba Mini 1.7 was added to LiteLLM's model price file in July 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.
LiteLLM docs: AI21 Labs.
Provider pages: AI21 Labs.
