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Jamba Large 1.7 vs DeepSeek R1
List-price comparison · Jamba Large 1.7 details · DeepSeek R1 details
For a typical workload (100,000 requests / mo), DeepSeek R1 costs 74% less — $146.00/mo vs $560.00/mo.
| Jamba Large 1.7 | DeepSeek R1 | |
|---|---|---|
| Input / 1M tokens | $2.00 | $0.500 |
| Output / 1M tokens | $8.00 | $2.15 |
| Typical request (1,200 in + 400 out) | $0.0056 | $0.0015 |
| Context window | 256k tokens | 163,840 tokens |
| Max output | 4,096 tokens | 32,768 tokens |
| Tier | Flagship | Flagship |
| Provider | AI21 | DeepSeek |
Projected monthly cost
1,000 requests / month$5.60 vs $1.4610,000 requests / month$56.00 vs $14.60100,000 requests / month$560.00 vs $146.00
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 R1
Chain-of-thought reasoning competitive with closed flagship models on math and logic benchmarks, at open-weight pricing.
Emits long reasoning traces that inflate output token counts and cost — cap reasoning length or use a distilled variant for latency-sensitive paths.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.