Moonshot
Kimi API
Moonshot's Kimi models — a frontier tier and a coding-specialised one.
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제품군 내 모델 수
Kimi splits by specialisation rather than by size: K3 is Moonshot's frontier model for long-context reasoning and agentic tool use, and K2.7 Code is tuned for repository-scale edits and agentic software tasks. The two are priced within about six percent of each other on input, so the choice is about what the model was trained for, not about budget.
한눈에 보기
- 최저가
- $1.48 / 100만 토큰
이 제품군의 모델
가격
| 모델 | 옵션 | 가격 |
|---|---|---|
| Kimi K3 | input | $1.48/ 100만 토큰 |
| Kimi K3 | output | $7.4/ 100만 토큰 |
| Kimi K3 | cacheRead | $0.148/ 100만 토큰 |
| Kimi K2.7 Code | input | $1.57/ 100만 토큰 |
| Kimi K2.7 Code | output | $7.13/ 100만 토큰 |
| Kimi K2.7 Code | cacheRead | $0.265/ 100만 토큰 |
어떤 모델을 고를까
Kimi K3
Long-context reasoning and agentic tool use — the general frontier tier.
Kimi K2.7 Code
Repository-scale code edits and agentic software work, where a coding-tuned model beats a general one.
장점
- A coding-specialised tier that is not just the general model with a different prompt.
- Input prices sit within about six percent of each other, so specialisation does not cost extra.
- Prompt caching on both tiers.
- OpenAI-protocol compatible.
제한 사항
- K3's cache reads are discounted to a tenth of input while K2.7 Code only reaches about a sixth, so caching pays back differently per tier.
- Output costs four and a half to five times input on both tiers.
- Only two tiers, both at a similar price point — no cheap volume option.
공급사가 설명하는 이 제품군: Moonshot AI — docs