Jamba Large 1.7
by AI21 Labs · ai21/jamba-large-1.7 · #259 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:37 AM UTC · refreshed hourly
Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$2.00
per 1M tokens
Output
$8.00
per 1M tokens
Blended (3:1)
$3.50
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Jamba Large 1.7 (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $3.50 | $0.212 | — |
| 50% | $3.50 | $0.212 | −0% |
| 90% | $3.50 | $0.212 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.0034 | $3.40 |
| Document summary | 8,000 | 1,000 | $0.024 | $24.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.076 | $76.00 |
| Long-context analysis | 150,000 | 5,000 | $0.34 | $340.00 |
Specs
Context window
256K
tokens
Max output
4K
tokens
Input modalities
text
Tokenizer
Other