MoonshotAI: Kimi Latest API Pricing
MoonshotAI: Kimi Latest costs $0.238 per 1M input tokens and $24.00 per 1M output tokens (cache reads: $0.228). Context window: 1.0M. Prices verified 2026-10-21 · source
Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
From our own daily snapshot archive — independent of provider announcements.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.238 | — |
| Cache read | $0.228 | −4% |
| Output | $24.00 | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Higher effort = deeper thinking = more reasoning tokens billed as output.
What would MoonshotAI: Kimi Latest cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $97.90 |
| Coding agent | 5,000 | 8,000 / 2,000 | $249.52 |
| RAG pipeline | 30,000 | 4,000 / 500 | $388.56 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $57.52 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About MoonshotAI: Kimi Latest
This model always redirects to the latest model in the Kimi family.
Compare MoonshotAI: Kimi Latest with
- Kimi Latest vs OpenAI: GPT-5.6 Terra Pro
- Kimi Latest vs Anthropic: Claude Fable 5
- Kimi Latest vs Anthropic: Claude Opus 5
- Kimi Latest vs OpenAI: GPT-5.6 Sol
Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does MoonshotAI: Kimi Latest cost?
MoonshotAI: Kimi Latest costs $0.238 per 1M input tokens and $24.00 per 1M output tokens; cached input tokens cost $0.228 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
1.0M tokens, with up to 944K output tokens per response. That's roughly 1311 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.228/1M, about 4% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.
Official resources
- MoonshotAI: Kimi Latest on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Shred your current bill — paste a CSV and see if switching saves money.