Qwen Image 3.0 per-image cost: yuan to dollars

Qwen Image 3.0 is reported at CNY 0.18 Standard or 0.50 Pro per 2K image, plus CNY 0.02 per input image. How to convert, and where Sume prints prices.

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OrcaRouter reports Qwen Image 3.0 (August 5, 2026) at CNY 0.18 per 2K image on Standard and CNY 0.50 on Pro, with CNY 0.02 for each input image. To get dollars, multiply by the exchange rate on the day you pay. This post does not use a rate, because a rate would be invented here.

The reported figures

The table repeats the OrcaRouter numbers. The last two rows are plain addition on those figures.

Qwen Image 3.0 pricing as reported (read 2026-10-03)
ItemReported value
2K image, StandardCNY 0.18
2K image, ProCNY 0.50
Input image, meteredCNY 0.02
Concurrency10 concurrent requests
RankingElo 1,077, rank 16
Derived: Standard edit with one input imageCNY 0.20
Derived: Pro edit with one input imageCNY 0.52

Converting to dollars

Take the CNY amount and multiply by dollars per yuan from your bank or card statement. Do it at invoice time, not at estimate time, because the rate moves and cross-border fees may apply. If you generate 1,000 Standard images with no input, the pre-conversion total is CNY 180.

Where Sume prints image prices

Sume quotes images in dollars directly. GET /v1/images/models/{model_id}/endpoints returns a pricing array of billable lines with cost_usd, and the docs state that these lines are the amount charged to your wallet with the margin already applied, so cost_usd times n is what you pay. A finished call returns usage.cost, the USD amount billed.

The Sume image docs mention Qwen among the models that accept custom pixel sizes through image_size. They do not list a Qwen Image 3.0 price, so read the endpoint record in the live catalog rather than assuming one.

curl "https://api.sume.com/v1/images/models" \
  -H "Authorization: Bearer $SUME_API_KEY"

What an Elo rank does not tell you

A rank of 16 says how outputs were rated against others, not what your images will cost or whether they suit your style. Test a handful of your own prompts before you commit a budget to any one model.

Sources

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