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  5. Qwen3 Next 80B A3B ThinkingvsQwen3.5 397B A17B
Updated Feb 2026

Qwen3 Next 80B A3B ThinkingvsQwen3.5 397B A17B

Qwen3 Next 80B A3B Thinking is cheaper than Qwen3.5 397B A17B at $0.15/M vs $0.6/M input tokens.

Qwen3 Next 80B A3B Thinking and Qwen3.5 397B A17B compared across 53 shared prompts
SpecQwen3 Next 80B A3B ThinkingQwen3.5 397B A17B
Input price$0.15/M tokens$0.6/M tokens
Output price$1.5/M tokens$3.6/M tokens
Context window66K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Feb 2026
Our Verdict
Qwen3.5 397B A17B
Qwen3.5 397B A17B
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B ThinkingRunner-up

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

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3 Next 80B A3B Thinking
Input
$0.15
4.0× cheaper
Output
$1.50
2.4× cheaper
Qwen3.5 397B A17B
Input
$0.60
Output
$3.60

Qwen3 Next 80B A3B Thinking is cheaper on both: 4.0× input, 2.4× output.

Where to run it

12 hosts, cheapest first

Qwen3 Next 80B A3B Thinking2 hosts
HostInOutContextUptime
Alibaba Cloud$0.15 in·$1.20 out·131k·99.9% upGoogle Vertex AI$0.15 in·$1.20 out·262k·99.9% up
Qwen3.5 397B A17B10 hosts
HostInOutContextUptime
Alibaba Cloud$0.39 in·$2.34 out·262k·99.8% upPParasailfp8$0.50 in·$3.60 out·262k·99.8% upAAtlasCloudfp8$0.55 in·$3.50 out·262k·96.7% upDDigitalOcean$0.55 in·$3.50 out·131k·98.6% upPPhala$0.55 in·$3.50 out·262k·98.9% upNNovita$0.60 in·$3.60 out·262k·98.6% up
4 more hostsFewer hosts
SStreamLake$0.60 in·$3.60 out·256k·92.7% upVVenice$0.75 in·$4.50 out·128k·96.2% upDDeepInfrafp8degraded$0.45 in·$3.00 out·262k·98.9% upGGMI Cloudfp8degraded$0.60 in·$3.60 out·262k·91.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Sep 2026.

Writing DNA

Style Comparison

Similarity
45%

Qwen3 Next 80B A3B Thinking uses 4.0x more emoji

Qwen3 Next 80B A3B Thinking
Qwen3.5 397B A17B
56%Vocabulary54%
16wSentence Length14w
0.32Hedging0.39
5.1Bold6.9
3.9Lists4.2
0.92Emoji0.23
0.75Headings0.93
0.08Transitions0.17
Based on 27 + 23 text responses
Research

What we learned reading every model

FAQ

Common questions

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