Jamba 1.5 Large
AI21 LabsJamba 1.5 Large by AI21 Labs costs $2/M input, $8/M output with 256K context window. Updated February 2026. Compare with GPT-5, Claude, Gemini & 40+ models.
Input Price
$2.00
per 1M tokens
Output Price
$8.00
per 1M tokens
Context Window
256K
tokens
Specifications
| Provider | AI21 Labs |
| Model ID | jamba-1-5-large |
| Input Price | $2 / 1M tokens |
| Output Price | $8 / 1M tokens |
| Context Window | 256K tokens |
| Max Output | 4K tokens |
| Capabilities | textfunction_calling |
| Release Date | 2024-08 |
| Notes | Mamba-based SSM architecture. 256K context. |
Monthly Cost Estimates
Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).
| Daily Tokens | Monthly Cost | Annual Cost |
|---|---|---|
| 10K | $1.50 | $18.00 |
| 50K | $7.50 | $90.00 |
| 100K | $15.00 | $180.00 |
| 500K | $75.00 | $900.00 |
| 1.0M | $150.00 | $1800.00 |
About Jamba 1.5 Large
Jamba 1.5 Large is a large language model by AI21 Labs. It features a 256K token context window with up to 4K tokens of output per request. The model supports 2 capabilities: text, function_calling.
At $2 per million input tokens and $8 per million output tokens, Jamba 1.5 Large is positioned as a mid-range option in the AI21 Labs lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.
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FAQ
How much does Jamba 1.5 Large cost?
Jamba 1.5 Large costs $2 per million input tokens and $8 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $18.00/month.
What is Jamba 1.5 Large's context window?
Jamba 1.5 Large supports a context window of 256K tokens. This means your combined input prompt and output response can be up to 256K tokens. The maximum output per response is 4K tokens.
Is Jamba 1.5 Large good for my use case?
Jamba 1.5 Large supports text, function_calling. As a mid-range model, it balances capability and cost for most production use cases. Use our Pricing Calculator to compare with alternatives.