Qwen 3.8 Flash pricing for meeting notes

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=2000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.002140 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 meeting notes benchmarks. Hover for details.

Highest-quality affordable option: Gemini 3 Flash at $0.0100/call (4.7x the cost, 83/100 quality). Qwen 3.8 Flash is already the cheapest choice for meeting notes.

What drives meeting notes cost

Transcripts are long and low-density (an hour of conversation is a lot of tokens carrying comparatively little information) while the notes that come back are short. That ratio makes this a strong fit for a fast-tier model plus the batch API: notes rarely need to exist within seconds of the meeting ending, and batch discounts apply to the whole request.

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 8,000/2,000 token split, output accounts for 44% of the $0.002140 per-call cost.

Qwen 3.8 Flash quality benchmarks for meeting notes

Benchmark data for meeting notes 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