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  5. Claude Fable 5vsQwen3.5 397B A17B
Updated Jun 2026

Claude Fable 5vsQwen3.5 397B A17B

Qwen3.5 397B A17B is cheaper than Claude Fable 5 at $0.6/M vs $10/M input tokens.

Claude Fable 5 and Qwen3.5 397B A17B compared across 53 shared prompts
SpecClaude Fable 5Qwen3.5 397B A17B
Input price$10/M tokens$0.6/M tokens
Output price$50/M tokens$3.6/M tokens
Context window1.0M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJun 2026Feb 2026
Our Verdict
Claude Fable 5
Claude Fable 5
Qwen3.5 397B A17B
Qwen3.5 397B A17BRunner-up

Not enough votes to call it. On the specs, Claude Fable 5 has the edge: newer, bigger context window, major provider backing.

Qwen3.5 397B A17B costs 14x less per token.

Too close to call
API pricing

Cost per 1M tokens

Claude Fable 5
Input
$10.00
Output
$50.00
Qwen3.5 397B A17B
Input
$0.60
17× cheaper
Output
$3.60
14× cheaper

Qwen3.5 397B A17B is cheaper on both: 17× input, 14× output.

Where to run it

14 hosts, cheapest first

Claude Fable 54 hosts
HostInOutContextUptime
Amazon Bedrock$10.00 in·$50.00 out·1M—Azure AI Foundry$10.00 in·$50.00 out·1M·99.6% upAnthropic$10.00 in·$50.00 out·1M·99.8% upGoogle Vertex AI$10.00 in·$50.00 out·1M·99.5% 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·94.5% upPParasailfp8$0.50 in·$3.60 out·262k·99.7% upAAtlasCloudfp8$0.55 in·$3.50 out·262k·99% upDDigitalOcean$0.55 in·$3.50 out·131k·95.2% upPPhala$0.55 in·$3.50 out·262k·98.7% up
4 more hostsFewer hosts
NNovita$0.60 in·$3.60 out·262k·99.8% upSStreamLake$0.60 in·$3.60 out·256k·95.2% upVVenice$0.75 in·$4.50 out·128k·93.2% upGGMI Cloudfp8degraded$0.60 in·$3.60 out·262k·68.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.

Writing DNA

Style Comparison

Similarity
51%

Qwen3.5 397B A17B uses 3.5x more transitions

Claude Fable 5
Qwen3.5 397B A17B
60%Vocabulary54%
22wSentence Length14w
0.49Hedging0.39
4.0Bold6.9
3.5Lists4.2
0.58Emoji0.23
1.09Headings0.93
0.05Transitions0.17
Based on 27 + 23 text responses
Research

What we learned reading every model

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