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  5. Qwen3.5 27BvsQwen3.5 397B A17B
Updated Feb 2026

Qwen3.5 27BvsQwen3.5 397B A17B

Qwen3.5 27B is cheaper than Qwen3.5 397B A17B at $0.3/M vs $0.6/M input tokens.

Qwen3.5 27B and Qwen3.5 397B A17B compared across 53 shared prompts
SpecQwen3.5 27BQwen3.5 397B A17B
Input price$0.3/M tokens$0.6/M tokens
Output price$2.4/M tokens$3.6/M tokens
Context window262K tokens262K tokens
Parameters27B397B (17B active)
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedFeb 2026Feb 2026
SWE-bench Verified72.4%76.4%
Our Verdict
Qwen3.5 397B A17B
Qwen3.5 397B A17B
Qwen3.5 27B
Qwen3.5 27BRunner-up

Not enough votes to call it. On the specs, Qwen3.5 397B A17B has the edge: bigger model tier.

Too close to call
API pricing

Cost per 1M tokens

Qwen3.5 27B
Input
$0.30
2.0× cheaper
Output
$2.40
1.5× cheaper
Qwen3.5 397B A17B
Input
$0.60
Output
$3.60

Qwen3.5 27B is cheaper on both: 2.0× input, 1.5× output.

Where to run it

16 hosts, cheapest first

Qwen3.5 27B6 hosts
HostInOutContextUptime
Alibaba Cloud$0.20 in·$1.56 out·262k·94.7% upSSiliconFlowfp8$0.25 in·$2.00 out·262k·98.9% upAAtlasCloudfp8$0.27 in·$2.16 out·262k·99.1% upNNovitabf16$0.30 in·$2.40 out·262k·98.1% upPPhala$0.30 in·$2.40 out·262k·96.6% upDDeepInfrafp8degraded$0.26 in·$2.60 out·262k·95% up
Qwen3.5 397B A17B10 hosts
HostInOutContextUptime
Alibaba Cloud$0.39 in·$2.34 out·262k·99.7% upDDeepInfrafp8$0.45 in·$3.00 out·262k·96.2% upPParasailfp8$0.50 in·$3.60 out·262k·99.6% upAAtlasCloudfp8$0.55 in·$3.50 out·262k·97.5% upPPhala$0.55 in·$3.50 out·262k·98% upNNovita$0.60 in·$3.60 out·262k·98.3% up
4 more hostsFewer hosts
SStreamLake$0.60 in·$3.60 out·256k·96.2% upVVenice$0.75 in·$4.50 out·128k·96.3% upDDigitalOceandegraded$0.55 in·$3.50 out·131k·96.9% upGGMI Cloudfp8degraded$0.60 in·$3.60 out·262k·77.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 8 Sep 2026.

Writing DNA

Style Comparison

Similarity
90%

Qwen3.5 397B A17B uses 22.8x more emoji

Qwen3.5 27B
Qwen3.5 397B A17B
51%Vocabulary54%
15wSentence Length14w
0.32Hedging0.39
7.3Bold6.9
4.8Lists4.2
0.01Emoji0.23
0.87Headings0.93
0.19Transitions0.17
Based on 23 + 23 text responses
Research

What we learned reading every model

FAQ

Common questions

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