LONG CONTEXT256K CONTEXTTEXTSSM-TRANSFORMERNO CACHE ROW
Jamba Large 1.7 API Pricing
Jamba Large 1.7 is AI21's flagship hybrid SSM-Transformer model, built for long-document reasoning and RAG at a 256K-token context. AI21 Studio lists $2/M input and $8/M output. Pulled from ai21.com.
Input - per 1M tokens
$2.00/M
Source AI21 Studio public list
Output - per 1M tokens
$8.00/M
Context 256K public list
Cache N/A
$2.00/M
Cache no public row not listed
Effective - agentic blend
$2.48/M
92/8 split - no cache discount
§ 01 / TERMINAL
Run the numbers.
Live calculator pre-loaded with Jamba Large 1.7 public token rates. AI21 does not publish a separate prompt-cache token rate for this model.
$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
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Words equivalent (English)
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Effective rate
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§ 02 / SCENARIOS
Real-world presets.
LONG DOC ANALYSIS
Reading 100-page contracts
$0.424/doc
CODING AGENT
Codebase-scale migration
$0.320/task
RAG - SUPPORT
Ticket triage
$0.024/ticket
ASSISTANT
Research planning turn
$0.052/turn
§ 03 / TOKENIZER
Paste text. See tokens. See cost.
Estimate · jamba-tokenizer-estimate · ≈3.85 chars/token Auto-counts as you type
This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.
Characters 476
Words 77
Tokens (estimated) 124 tokens
Cost as input · uncached $0.000248 USD
Cost as output · uncached $0.000992 USD
Cost as cached input $0.000248 USD
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| Jamba Large 1.7 Current | $2.00 | $8.00 | $2.48 agentic 92/8, no cache | 256K | Long-document RAG and analysis |
| Jamba Mini 1.7 | $0.20 | $0.40 | $0.22 cheaper sibling | 256K | High-volume long-context work |
| Mistral Large 3 | $0.50 | $1.50 | $0.58 cheaper open peer | 256K | Open-weight flagship |
| GPT-5.4 | $2.50 cache $0.25 | $15.00 | $1.80 frontier daily-driver | 1M | Frontier reasoning |
| Claude Sonnet 4.6 | $3.00 cache $0.30 | $15.00 | $1.92 frontier with cache | 1M | Frontier coding and agents |
Frequently asked.
Practical Jamba Large 1.7 pricing questions, with AI21's published rates kept separate from workload assumptions.
Q · 01 What is Jamba Large 1.7 priced at? +
On AI21 Studio it lists
$2/M input and $8/M output, with a 256K-token context. Verified on the AI21 pricing page 2026-07-11. It is also available on Amazon Bedrock.Q · 02 Why is Jamba cheaper for long context? +
Jamba uses a hybrid SSM-Transformer (Mamba) architecture whose state-space layers use less memory on long sequences than pure attention, so AI21 can offer a 256K context at a lower price than many Transformer-only long-context models.
Q · 03 Is there a prompt-cache discount? +
No separate cache-read rate is published for Jamba Large, so this calculator keeps cached input equal to base input (
$2/M). The token-only blended cost is about $2.48/M.Q · 04 How does it compare with Jamba Mini? +
Jamba Mini 1.7 is 10x cheaper on input (
$0.20/$0.40) with the same 256K context. Use Mini for high-volume long-context work and Large for the hardest reasoning.Q · 05 Which API model ID should I use? +
Use
jamba-large-1.7 on AI21 Studio. Re-verify the current price on the AI21 pricing page before pinning a production integration.