kimi-thinking-preview API price comparison

The latest kimi model.

Provider: Other ยท Category: chat

Cheapest overall

AIHubMix

60.00 USD/M tokens combined per 1M tokens

Lowest input

AIHubMix

30.00 USD/M tokens input per 1M tokens

Lowest output

AIHubMix

30.00 USD/M tokens output per 1M tokens

Last refreshed

Sep 4, 2026

1 listed platform

Best listed option

kimi-thinking-preview is currently cheapest overall on AIHubMix, with input at 30.00 USD/M tokens and output at 30.00 USD/M tokens per million tokens.

Pricing insight

Across 1 listed routes, kimi-thinking-preview is cheapest overall on AIHubMix at 60.00 USD/M tokens.

  • Lowest total cost

    AIHubMix

    Best first check for balanced coding-agent sessions: 60.00 USD/M tokens.

  • Prompt-heavy work

    AIHubMix

    Useful for large repositories and long context reads: 30.00 USD/M tokens input.

  • Response-heavy work

    AIHubMix

    Useful for long answers, edits, and agent loops: 30.00 USD/M tokens output.

Median combined price

60.00 USD/M tokens

Baseline for judging whether the cheapest route is unusually low.

Cache price coverage

0%

0 of 1 routes publish cache read or write prices.

Fresh rows

1/1

Routes crawled in the last 72 hours.

Prices are crawler-backed and normalized; confirm final prices on the target platform before large purchases.

Use case fit

kimi-thinking-preview from Other can be compared by input, output, and combined per-million-token cost to select the most economical API route.

Platform price comparison

PlatformRatioInputOutputTotal
AIHubMix 1.00x 30.00 USD/M tokens 30.00 USD/M tokens 60.00 USD/M tokens

FAQ

Where is kimi-thinking-preview cheapest?

AIHubMix has the lowest listed combined price at 60.00 USD/M tokens per 1M tokens.

What do input and output prices mean?

Input is charged for prompt tokens you send. Output is charged for tokens generated by the model.

How often are prices refreshed?

Prices are crawler-backed and this page was last refreshed Sep 4, 2026. Always confirm before large purchases.

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