Simulating realistic Translation parameters (5,000 in / 5,500 out with 15% cache reuse). AI21 Jamba 1.5 Large delivers a 20% cost reduction over Cohere Command R+.
| Traffic Volume Tier | Cohere Command R+ Monthly | AI21 Jamba 1.5 Large Monthly | Monthly Savings by picking AI21 Jamba 1.5 Large |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $67.50 | $54.00 | Save $13.50 / mo |
| 10,000 reqs/mo (Small App) | $675.00 | $540.00 | Save $135.00 / mo |
| 100,000 reqs/mo (Growth Production) | $6,750.00 | $5,400.00 | Save $1,350.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $67,500.00 | $54,000.00 | Save $13,500.00 / mo |
AI21 Jamba 1.5 Large is 20% cheaper for Translation workloads. At standard Translation parameter ratios (5,000 input tokens, 5,500 output tokens, 15% cache hit), AI21 Jamba 1.5 Large costs $0.054 per request compared to $0.0675 on Cohere Command R+.
Cohere Command R+ offers a context window of 128,000 tokens (max output: 4,096), while AI21 Jamba 1.5 Large offers 256,000 tokens (max output: 4,096).
At 100,000 requests per month, using AI21 Jamba 1.5 Large saves $1,350.00 every month (or $16,200.00 annually) compared to Cohere Command R+.
Output length ≈ input length; budget both sides of the request. Japanese and Chinese text typically costs more per word than English due to tokenization. Cache translation memories and glossaries embedded in the prompt.