Kimi Latest vs DeepSeek: cost comparison
Prices updated 2026-11-04 · computed from live provider data
Short answer: DeepSeek is cheaper on a
3:1 input/output blend — $0.237 per million tokens versus
$2.38, a 90% difference.
Both offer the same 1,048,576-token context window, so cost is the deciding factor.
Head to head
| Kimi Latest | DeepSeek | |
|---|---|---|
| Input, per 1M tokens | $0.190 | $0.190 |
| Output, per 1M tokens | $8.94 | $0.380 |
| Blended 3:1, per 1M | $2.38 | $0.237 |
| Context window | 1,048,576 | 1,048,576 |
| Vendor | moonshotai | inferenceapis |
Monthly cost at real volumes
| Workload (input / output) | Kimi Latest | DeepSeek |
|---|---|---|
| 1M in / 250K out | $2.42 | $0.285 |
| 10M in / 2.5M out | $24.25 | $2.85 |
| 100M in / 25M out | $242 | $28.50 |
Which should you pick?
Because the context windows are identical, the cheaper option is the better default. Choose DeepSeek unless you are already standardised on ~moonshotai tooling and want to avoid a second integration.