🏢

Moonshotai Kimi K3.1 Pro Batch API Pricing / Price per 1M tokensBatchStandard: moonshotai-kimi-k3-1-pro

moonshotai • API Price Comparison

Also known as: moonshotai-kimi-k3.1-pro-batch · moonshotaikimik3.1probatch · moonshotai-kimik3.1-pro-batch · moonshotai kimik3.1 pro batch

API pricing and token costs at a glance

Updated on · Published currencies / per 1M tokens; cheapest ranked by input

Official and cheapest channel API pricing
ChannelInput / 1MOutput / 1MCache read / 1MUpdated / verified on
OfficialNo official quote recorded
OpenRouterLowest inputUSD 0.7USD 6USD 0.12026-11-12

Metered API cost = input tokens / 1M × input rate + output tokens / 1M × output rate. At the lowest-input-rate channel, 1M input plus 250K output tokens costs approximately USD 2.2. This excludes caching, tools, retries and other service fees; the lowest input rate does not guarantee the lowest total bill.

— means the price or date is not recorded. Cross-currency ranking uses exchange rates.

📏 Context: 1,048,576 tokensReleased Oct 24, 2026

Moonshotai Kimi K3.1 Pro Batch is a large language model by moonshotai with a 1.0M-token context window. Across the 1 API channels tracked here, input pricing ranges from $0.70 per 1M input tokens; the cheapest is OpenRouter at $0.70 per 1M input tokens. Prices are collected daily from official provider pages and every tracked channel, then cross-checked by a data-accuracy audit.

💰 Cheapest Option
OpenRouter
$0.70/1M input
$6.00/1M output
Visit website
🏢 Official Price
N/A
No official channel available
📊 Channel Price Comparison
Compare moonshotai-kimi-k3-1-pro-batch API prices across all available channels • 1 channels available
ChannelTypeInput / 1MOutput / 1MRate Limitvs Official
OpenRouter3 variants💰 Best Price
Aggregator$0.70$6.00--
Show all price variants for this channel
OpenRouter Auto / default routeDefault
$0.70 / $6.00 per 1M
default_route
Cheapest endpoint: Sail Research
$0.70 / $6.00 per 1M
cheapest_endpoint
Sail Research | moonshotai/kimi-k3.1-pro-20261023:batch
$0.70 / $6.00 per 1M
upstream_provider
📈 Price History
Every scraper-detected price change is recorded. Same-day multiple changes take the last value; unchanged channels carry the last observed price forward.
No price history yet. New price changes will appear after the next scraper run.
💵 Estimated Monthly Costs
Based on typical usage patterns (input:output = 2:1 ratio); all channels converted to USD for comparison
Usage LevelTokens/MonthOpenRouter
🐣 Light0.1M in + 0.1M out$0.37
📊 Medium1.0M in + 0.5M out$3.70
🚀 Heavy10.0M in + 5.0M out$37.00
🏢 Enterprise100.0M in + 50.0M out$370.00

Frequently asked questions about moonshotai-kimi-k3-1-pro-batch

How much does the Moonshotai Kimi K3.1 Pro Batch API cost?

The lowest input rate is USD 0.7 per 1M tokens; output on that channel is USD 6 per 1M tokens.

Which channel has the cheapest Moonshotai Kimi K3.1 Pro Batch API?

OpenRouter has the lowest input rate: USD 0.7 per 1M tokens. Cross-currency ranking uses exchange rates; compare output and cache prices separately.

What is the Moonshotai Kimi K3.1 Pro Batch cache-read price?

OpenRouter: USD 0.1 per 1M cache-read tokens.

When was Moonshotai Kimi K3.1 Pro Batch pricing last updated?

Updated on 2026-11-12. This is the latest recorded price update or verification; see the table for individual channel dates.

Is there a free Moonshotai Kimi K3.1 Pro Batch API?

No available recorded channel lists both input and output at zero. Missing prices, free cache reads or a free chat tier do not establish a free API; check provider terms for trial credits.

How do I calculate Moonshotai Kimi K3.1 Pro Batch token costs and monthly spend?

Metered API cost = input tokens / 1M × input rate + output tokens / 1M × output rate. At the lowest-input-rate channel, 1M input plus 250K output tokens costs approximately USD 2.2. This excludes caching, tools, retries and other service fees; the lowest input rate does not guarantee the lowest total bill.

Related pricing research

Kimi Pricing: API Costs, Subscription & Coding Plans

Read the full guide →

Related models from the same producer