Jamba Mini 1.7 vs Mercury 2.5: cost comparison
Prices updated 2026-11-09 · computed from live provider data
Short answer: Jamba Mini 1.7 is cheaper on a
3:1 input/output blend — $0.250 per million tokens versus
$0.338, a 26% difference.
Mercury 2.5 offers the larger context window at 260,000 tokens, against 256,000 for Jamba Mini 1.7.
Head to head
| Jamba Mini 1.7 | Mercury 2.5 | |
|---|---|---|
| Input, per 1M tokens | $0.200 | $0.200 |
| Output, per 1M tokens | $0.400 | $0.750 |
| Blended 3:1, per 1M | $0.250 | $0.338 |
| Context window | 256,000 | 260,000 |
| Vendor | jamba | inception |
Monthly cost at real volumes
| Workload (input / output) | Jamba Mini 1.7 | Mercury 2.5 |
|---|---|---|
| 1M in / 250K out | $0.300 | $0.388 |
| 10M in / 2.5M out | $3.00 | $3.88 |
| 100M in / 25M out | $30.00 | $38.75 |
Which should you pick?
Pick Mercury 2.5 when you need the longer context window (260,000 vs 256,000 tokens). Pick Jamba Mini 1.7 when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.