Qwen 3.8 Flash pricing for document summarization

Quick start

Call Qwen 3.8 Flash with the OpenAI Python SDK pointed at DashScope:

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
    api_key=os.environ["DASHSCOPE_API_KEY"],
)
response = client.chat.completions.create(
    model="qwen3.8-flash",
    max_tokens=1000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.001970 per call at standard rates
# Input:  $0.15/MTok
# Output: $0.47/MTok

How Qwen 3.8 Flash compares on cost

Per-call cost for all models scoring 50+ on document summarization benchmarks. Hover for details.

Highest-quality affordable option: Gemini 3 Flash at $0.008000/call (4.1x the cost, 83/100 quality). Qwen 3.8 Flash is already the cheapest choice for document summarization.

What drives document summarization cost

The archetypal input-heavy task: the entire source document goes in, a short summary comes back. Cost is almost entirely a function of document length, and the output rate barely registers. Long documents can cross a provider's long-context threshold, where the whole request is re-priced at a multiple. Check the threshold before feeding in a hundred-page PDF as one call.

For Qwen 3.8 Flash specifically, that means output tokens cost 3.1x more than input, at $0.47 vs $0.15 per MTok. At this use case’s 10,000/1,000 token split, output accounts for 24% of the $0.001970 per-call cost.

Qwen 3.8 Flash quality benchmarks for document summarization

Benchmark data for document summarization is pending for Qwen 3.8 Flash. Test against your own evaluation suite before moving to production.

Benchmark data is not yet available for Qwen 3.8 Flash. We recommend testing against your own evaluation criteria.

About Qwen 3.8 Flash

Prices from help.aliyun.com/en/model-studio (qwen3.8-flash, read 2026-10-11). Cache hit: $0.016/MTok input. Not yet benchmarked, so never recommended.

Other models from Alibaba (Qwen)

You can compare Qwen 3.8 Flash head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions