Kimi K2.6 pricing
$0.950 per million input tokens, $4 per million output tokens, 262.1K-token context window. A 1,500-in / 400-out request costs $0.0030.
- Input / 1M tokens
- $0.950
- Output / 1M tokens
- $4
- Cached input / 1M
- $0.160
- Context window
- 262.1K tokens
- Max output
- —
- Released
- —
Worked cost examples
| Workload | Per request | 1,000 requests | 6,000 requests / month |
|---|---|---|---|
| Customer-support reply (1,500 in / 400 out) | $0.0030 | $3.02 | $18.15 |
| Document summary (20,000 in / 1,000 out) | $0.023 | $23 | $138 |
| Code review pass (8,000 in / 1,500 out) | $0.014 | $13.60 | $81.60 |
List prices only. Caching, batch tiers and volume agreements can change these numbers substantially.
Where it sits on price
Of the 30 models in this catalog, Kimi K2.6 ranks 12 by output price — cheaper than 17 and more expensive than 11. Cached input is billed at $0.160 per million tokens, about 17% of the standard input rate, so a high cache-hit rate changes the picture.
Price is not capability. A model that is half the price but needs two attempts, or that cannot hold your context, is the more expensive choice. Use these figures for budgeting and run your own evaluation for the quality decision.
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Other Moonshot AI models
List price last verified Oct 15, 2026 against the vendor's published pricing. Input shown is the cache-miss price; cache-hit input is $0.16 per 1M.. Vendors change prices without notice — confirm on the vendor's page before you commit.