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Jamba Large 1.7 vs DeepSeek V3.2
List-price comparison · Jamba Large 1.7 details · DeepSeek V3.2 details
For a typical workload (100,000 requests / mo), DeepSeek V3.2 costs 93% less — $41.18/mo vs $560.00/mo.
| Jamba Large 1.7 | DeepSeek V3.2 | |
|---|---|---|
| Input / 1M tokens | $2.00 | $0.229 |
| Output / 1M tokens | $8.00 | $0.343 |
| Typical request (1,200 in + 400 out) | $0.0056 | $0.0004 |
| Context window | 256k tokens | 131,072 tokens |
| Max output | 4,096 tokens | 64k tokens |
| Tier | Flagship | Balanced |
| Provider | AI21 | DeepSeek |
Projected monthly cost
1,000 requests / month$5.60 vs $0.411810,000 requests / month$56.00 vs $4.12100,000 requests / month$560.00 vs $41.18
Rows open both models in the calculator — adjust volume and token counts there.
Jamba Large 1.7
Auto-synced from OpenRouter — no editorial write-up yet.
DeepSeek V3.2
Extremely competitive coding and reasoning benchmarks at a fraction of commercial-API pricing — strong default for cost-sensitive batch workloads.
Open-weight hosting means latency and uptime vary by inference provider (DeepInfra, Fireworks, etc.) — pin a provider or add fallbacks for production SLAs.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.