Jamba 1.5 API Pricing
As of October 10, 2026, Jamba 1.5 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
- 2
- Added to LiteLLM
- August 2024
Jamba 1.5 pricing by provider
2 listings across 2 providers. 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-1.5 | $0.20 | $0.40 | 256K |
| Google Vertex AI | vertex_ai/jamba-1.5 | $0.20 | $0.40 | 256K |
What Jamba 1.5 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| AI21 Labs | $0.60 |
| Google Vertex AI | $0.60 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| AI21 Labs | $2.08 |
| Google Vertex AI | $2.08 |
Use Jamba 1.5 with LiteLLM
Call Jamba 1.5 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-1.5",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: jamba-1.5
litellm_params:
model: jamba-1.5
# 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-1.5",
"messages": [{"role": "user", "content": "Hello!"}]
}'Jamba 1.5 FAQ
How much does Jamba 1.5 cost?
Jamba 1.5 costs $0.20 per 1M input tokens and $0.40 per 1M output tokens on AI21 Labs.
What is the context window of Jamba 1.5?
Jamba 1.5 has a 256,000-token context window and returns up to 256,000 tokens per response.
Which providers offer Jamba 1.5?
Jamba 1.5 is available from 2 providers through LiteLLM: AI21 Labs and Google Vertex AI.
How do I call Jamba 1.5 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="jamba-1.5", 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 1.5?
Jamba 1.5 was added to LiteLLM's model price file in August 2024.
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, Google Vertex AI.
Provider pages: AI21 Labs, Google Vertex AI.
