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  5. Claude Fable 5vsQwen3.6 35B A3B
Updated Jun 2026

Claude Fable 5vsQwen3.6 35B A3B

Qwen3.6 35B A3B is cheaper than Claude Fable 5 at $0.1612/M vs $10/M input tokens.

Claude Fable 5 and Qwen3.6 35B A3B compared across 54 shared prompts
SpecClaude Fable 5Qwen3.6 35B A3B
Input price$10/M tokens$0.1612/M tokens
Output price$50/M tokens$0.9653/M tokens
Context window1.0M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJun 2026Apr 2026
Our Verdict
Claude Fable 5
Claude Fable 5
Qwen3.6 35B A3B
Qwen3.6 35B A3BRunner-up

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

Qwen3.6 35B A3B costs 52x less per token.

Slight edge
API pricing

Cost per 1M tokens

Claude Fable 5
Input
$10.00
Output
$50.00
Qwen3.6 35B A3B
Input
$0.16
62× cheaper
Output
$0.97
52× cheaper

Qwen3.6 35B A3B is cheaper on both: 62× input, 52× 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
Qwen3.6 35B A3B10 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·99.9% upAAkashMLfp8$0.10 in·$0.90 out·262k·99.8% upDDeepInfrafp8$0.10 in·$0.95 out·262k·97.4% upVVenicefp8$0.10 in·$1.00 out·256k·100% upIio.netfp8$0.13 in·$0.94 out·262k·99.7% upPParasailfp8$0.15 in·$1.00 out·262k·99.7% up
4 more hostsFewer hosts
AAtlasCloudfp8$0.19 in·$1.11 out·262k·99.8% upPPhala$0.20 in·$1.27 out·262k·99.6% upSSiliconFlowfp8$0.20 in·$1.60 out·262k·97.8% upCCoreWeavefp8$0.25 in·$1.25 out·262k·99.9% up

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

Writing DNA

Style Comparison

Similarity
68%

Qwen3.6 35B A3B uses 2.8x more emoji

Claude Fable 5
Qwen3.6 35B A3B
60%Vocabulary59%
22wSentence Length15w
0.49Hedging0.31
4.0Bold4.9
3.5Lists2.7
0.58Emoji1.60
1.09Headings0.75
0.05Transitions0.05
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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