EFFICIENT256K CONTEXTTEXTSSM-TRANSFORMERNO CACHE ROW
Jamba Mini 1.7 API Pricing
Jamba Mini 1.7 is AI21's small, efficient hybrid SSM-Transformer model with the same 256K-token context as Jamba Large. AI21 Studio lists $0.20/M input and $0.40/M output. Pulled from ai21.com.
Input - per 1M tokens
$0.20/M
Source AI21 Studio public list
Output - per 1M tokens
$0.40/M
Context 256K public list
Cache N/A
$0.20/M
Cache no public row not listed
Effective - agentic blend
$0.22/M
92/8 split - no cache discount
§ 01 / TERMINAL
Run the numbers.
Live calculator pre-loaded with Jamba Mini 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
—
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
$0.039/doc
CODING AGENT
Codebase-scale migration
$0.028/task
RAG - SUPPORT
Ticket triage
$0.002/ticket
ASSISTANT
Research planning turn
$0.004/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 516
Words 82
Tokens (estimated) 134 tokens
Cost as input · uncached $0.000027 USD
Cost as output · uncached $0.000054 USD
Cost as cached input $0.000027 USD
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| Jamba Mini 1.7 Current | $0.20 | $0.40 | $0.22 agentic 92/8, no cache | 256K | High-volume long-context work |
| Jamba Large 1.7 | $2.00 | $8.00 | $2.48 frontier sibling | 256K | Long-document RAG and analysis |
| Mistral Small 4 | $0.15 | $0.60 | $0.19 open peer | 256K | Cheap open small model |
| Gemini 2.5 Flash-Lite | $0.10 cache $0.01 | $0.40 | $0.06 cheaper with cache | 1M | Cheapest Google multimodal |
| DeepSeek V4 Flash | $0.14 cache $0.00 | $0.28 | $0.05 cheapest raw tokens | 1M | Bulk low-cost traffic |
Frequently asked.
Practical Jamba Mini 1.7 pricing questions, with AI21's published rates kept separate from workload assumptions.
Q · 01 What is Jamba Mini 1.7 priced at? +
On AI21 Studio it lists
$0.20/M input and $0.40/M output, with a 256K-token context - the same window as Jamba Large. Verified on the AI21 pricing page 2026-07-11.Q · 02 Does Jamba Mini really have a 256K context? +
Yes. Both Jamba Mini and Jamba Large share the 256K-token context. Jamba's hybrid SSM-Transformer design keeps long contexts affordable, which is why Mini can offer the same window at a fraction of Large's price.
Q · 03 Is there a prompt-cache discount? +
No separate cache-read rate is published for Jamba Mini, so this calculator keeps cached input equal to base input (
$0.20/M). The token-only blended cost is about $0.22/M.Q · 04 How does it compare with Jamba Large? +
Jamba Large 1.7 is 10x the input price (
$2/$8) for stronger reasoning. Mini is the better fit for high-volume long-context RAG, extraction and classification.Q · 05 Which API model ID should I use? +
Use
jamba-mini-1.7 on AI21 Studio. Re-verify the current price on the AI21 pricing page before pinning a production integration.