abab6.5-chat API price comparison

Compare abab6.5-chat token prices across supported API token platforms.

Provider: Other ยท Category: chat

Cheapest overall

Qianduoduo

80.00 USD/M tokens combined per 1M tokens

Lowest input

Qianduoduo

40.00 USD/M tokens input per 1M tokens

Lowest output

Qianduoduo

40.00 USD/M tokens output per 1M tokens

Last refreshed

Sep 3, 2026

1 listed platform

Best listed option

abab6.5-chat is currently cheapest overall on Qianduoduo, with input at 40.00 USD/M tokens and output at 40.00 USD/M tokens per million tokens.

Pricing insight

Across 1 listed routes, abab6.5-chat is cheapest overall on Qianduoduo at 80.00 USD/M tokens.

  • Lowest total cost

    Qianduoduo

    Best first check for balanced coding-agent sessions: 80.00 USD/M tokens.

  • Prompt-heavy work

    Qianduoduo

    Useful for large repositories and long context reads: 40.00 USD/M tokens input.

  • Response-heavy work

    Qianduoduo

    Useful for long answers, edits, and agent loops: 40.00 USD/M tokens output.

Median combined price

80.00 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

0/1

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

abab6.5-chat 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
Qianduoduo 1.00x 40.00 USD/M tokens 40.00 USD/M tokens 80.00 USD/M tokens

FAQ

Where is abab6.5-chat cheapest?

Qianduoduo has the lowest listed combined price at 80.00 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 3, 2026. Always confirm before large purchases.

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