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LEGACY BUDGET8K CONTEXTTEXTNO CACHE DISCOUNTOPENAI-COMPATIBLE API

Moonshot V1 8K API Pricing

Moonshot V1 8K is a legacy Moonshot V1 short-context text model. The live Kimi pricing surface lists $0.2/M input and $2/M output; no separate cache-hit discount is listed for Moonshot V1, so calculator cache defaults to the same input rate. Pulled directly from platform.kimi.ai daily.

Input - per 1M tokens
$0.20/M
Source Kimi API flat
Output - per 1M tokens
$2.00/M
Context 8K flat
Cached input - no separate discount
$0.20/M
Cache not listed 0%
Effective - agentic blend
$0.34/M
92/8 split - no cache discount
§ 01 / TERMINAL

Run the numbers.

Live calculator pre-loaded with Moonshot V1 8K rates. Tweak spend, workload split, or token counts and compare the legacy V1 economics against newer Kimi options.

$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
Words equivalent (English)
Effective rate
§ 02 / SCENARIOS

Real-world presets.

§ 03 / TAPE

Price history.

Moonshot V1 8K is still listed at $0.2/M input and $2/M output on Kimi's Moonshot V1 pricing page.

Input · $0.20/M
Output · $2/M
Cached · $0.20/M
APR 30 Legacy V1 baseline at $0.2/M input and $2/M outputMAY 22 Verified live on Kimi pricing at $0.2/M input and $2/M output
§ 04 / TOKENIZER

Paste text. See tokens. See cost.

Estimate · moonshot-tokenizer-estimate · ≈3.85 chars/token Auto-counts as you type

This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.

Characters
Words
Tokens (estimated)
Cost as input · uncached
Cost as output · uncached
Cost as cached input
§ 05 / SHELF

Up against the shelf.

All models →
Model Input /M Output /M Effective blended Context Best for
Moonshot V1 8K Current $0.20 cache $0.20 $2.00 $0.34 agentic 92/8 8K Short chat and summaries
Moonshot V1 128K $2.00 cache $2.00 $5.00 $2.24 pricier 131K Long document analysis
Moonshot V1 32K $1.00 cache $1.00 $3.00 $1.16 pricier 32K Standard document chat
Moonshot V1 128K Vision Preview $2.00 cache $2.00 $5.00 $2.24 pricier 131K Long-context image analysis
Moonshot V1 32K Vision Preview $1.00 cache $1.00 $3.00 $1.16 pricier 32K Image Q&A and document chat
Kimi K2.5 $0.60 cache $0.10 $3.00 $0.41 pricier 262K Supported Kimi multimodal target
Kimi K2.6 $0.95 cache $0.16 $4.00 $0.60 pricier 262K Current Kimi flagship agents
Gemini 2.5 Flash $0.30 cache $0.03 $2.50 $0.27 cheaper 1M Multimodal budget work

Frequently asked.

Legacy Moonshot V1 pricing questions for teams checking invoices, migrations, or older API integrations.

Q · 01 What is Moonshot V1 8K priced at? +
Moonshot V1 8K is listed at $0.2/M input and $2/M output. Kimi states prices exclude applicable taxes, and this page stores the USD token price before taxes.
Q · 02 Does Moonshot V1 have prompt caching? +
No separate cache-hit price is listed for this Moonshot V1 row. AI//COST therefore sets cached input equal to the normal $0.2/M input rate instead of inventing a discount.
Q · 03 Is this model deprecated? +
The Kimi pricing and model-list pages still list the Moonshot V1 slugs, so this page keeps them as legacy, callable models. They are older than the Kimi K2 family and should be treated as migration candidates for new applications.
Q · 04 Does this text V1 variant support vision? +
This text-only V1 variant is for text input and text output. Use the matching Vision Preview slug or a newer Kimi K2.5/K2.6 model when image input is required.
Q · 05 How is the effective price calculated? +
AI//COST uses the same 92/8 agentic blend everywhere. Because no V1 cache discount is listed, Moonshot V1 8K's effective blended cost is $0.34/M.
Q · 06 Are regional taxes included? +
No. Kimi's pricing page says listed prices exclude applicable taxes and checkout calculates tax based on jurisdiction. Currency conversion and tax modeling belong in calculator variants, not the USD source price.
Q · 07 What should replace Moonshot V1? +
For most new workloads, compare against Kimi K2.5 or Kimi K2.6. They are newer Kimi models with stronger agent, multimodal, and long-context positioning.