Qwen3.8 27B vs ScaleDown Summarize

Practical read: Qwen3.8 27B starts answering sooner. ScaleDown Summarize costs about a seventh as much and reads more context. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Qwen: Qwen3.8 27B compared with ScaleDown Summarize
Attribute	Qwen3.8 27B `qwen/qwen3.8-27b`	ScaleDown Summarize `scaledown/summarize`
Price, 1M in + out	$0.39 Engy, cheapest route	$0.053 ScaleDown, cheapest route
Best for	Speed	Low cost and long documents
Input / output, 1M	$0.047 / $0.34	$0.053 / $0
Cached input	$0.01/1M to $0.180405/1M	Not published
Context window	66K 65,536 tokens	1M 1,000,000 tokens
First token, p50	0.93 s via Crusoe	1.2 s via ScaleDown
AI IQ	IQ 115 #57 on AI IQ	Unrated
Provider routes	21 with failover	1
Privacy	Confidential E2EE and zero retention route	Zero retention route
Recent route uptime range	100.00%	100.00%
Publisher	Alibaba Cloud Model Studio	ScaleDown
Modes	chat	chat
More detail	Overview Pricing Providers	Overview

Price adds one million input and one million output tokens on the cheapest route. Prices and speed change: see the monthly reports and run a small eval before you choose a default.

Test both with your agent

Paste this into Claude Code, Cursor or any coding agent.

Compare Qwen3.8 27B and ScaleDown Summarize in this project through TrustedRouter.

1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
   https://api.trustedrouter.com/v1 and read the key from
   TRUSTEDROUTER_API_KEY.
3. Run our eval prompts on qwen/qwen3.8-27b, then on scaledown/summarize.
4. Show me cost, latency and quality side by side before changing the default.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("qwen/qwen3.8-27b", "scaledown/summarize"):
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "What is the capital of France?"}],
    )
    print(model, response.choices[0].message.content)

for model in qwen/qwen3.8-27b scaledown/summarize; do
  curl https://api.trustedrouter.com/v1/chat/completions \
    -H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"model\": \"$model\", \"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]}"
done

Your agent will need an API key.

Questions

Which should I use, Qwen: Qwen3.8 27B or ScaleDown Summarize?

Qwen: Qwen3.8 27B has more Credits provider routes and the lower measured p50 time to first token. ScaleDown Summarize has the lower published input-plus-output rate and the larger context window.

Is Qwen: Qwen3.8 27B or ScaleDown Summarize cheaper?

The current cheapest TrustedRouter route is $0.385075/1M for Qwen: Qwen3.8 27B and $0.05275/1M for ScaleDown Summarize. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.8 27B or ScaleDown Summarize faster?

Current measured p50 time to first token is 929 ms for Qwen: Qwen3.8 27B and 1220 ms for ScaleDown Summarize. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3.8 27B and ScaleDown Summarize with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between qwen/qwen3.8-27b and scaledown/summarize. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Qwen3.8 27B and ScaleDown Summarize with one key.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

No card required. Start with 1 million free tokens.