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  5. DeepSeek V4 FlashvsMuse Spark 1.3
Updated Sep 2026

DeepSeek V4 FlashvsMuse Spark 1.3

DeepSeek V4 Flash is cheaper than Muse Spark 1.3 at $0.14/M vs $1.25/M input tokens.

DeepSeek V4 Flash and Muse Spark 1.3 compared across 54 shared prompts
SpecDeepSeek V4 FlashMuse Spark 1.3
Input price$0.14/M tokens$1.25/M tokens
Output price$0.28/M tokens$4.25/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Sep 2026
Our Verdict
DeepSeek V4 Flash
DeepSeek V4 Flash
Muse Spark 1.3
Muse Spark 1.3

Not enough votes to call it. On the specs, nothing separates them.

DeepSeek V4 Flash costs 15x less per token.

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V4 Flash
Input
$0.14
8.9× cheaper
Output
$0.28
15× cheaper
Muse Spark 1.3
Input
$1.25
Output
$4.25

DeepSeek V4 Flash is cheaper on both: 8.9× input, 15× output.

Where to run it

16 hosts, cheapest first

DeepSeek V4 Flash15 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.07 in·$0.14 out·1M·98.7% upDDigitalOcean$0.07 in·$0.17 out·1M·99.7% upSStreamLakefp8$0.07 in·$0.14 out·1M·96.8% upDDeepInfrafp8$0.09 in·$0.18 out·1M·99.2% upGGMI Cloudfp8$0.09 in·$0.18 out·1M·99.1% upSSiliconFlowfp8$0.13 in·$0.28 out·1M·99.5% up
9 more hostsFewer hosts
Alibaba Cloudfp8$0.13 in·$0.27 out·1M·92.7% upVVenice$0.14 in·$0.28 out·1M·96.8% upAAtlasCloudfp4$0.14 in·$0.28 out·1M·99.6% upNNovitafp8$0.14 in·$0.28 out·1M·99.9% upPParasailfp8$0.14 in·$0.28 out·1M·99.7% upNNextBitfp8$0.15 in·$0.35 out·1M·99.9% upMMancerfp8$0.19 in·$0.50 out·1M·98% upPPhala$0.20 in·$0.40 out·1M·99.8% upAzure AI Foundry$0.21 in·$0.56 out·1M·93.5% up
Muse Spark 1.31 host
HostInOutContextUptime
Meta$1.25 in·$4.25 out·1M·100% up

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

Writing DNA

Style Comparison

Similarity
55%

DeepSeek V4 Flash uses 10.2x more transitions

DeepSeek V4 Flash
Muse Spark 1.3
54%Vocabulary59%
17wSentence Length14w
0.52Hedging0.28
3.6Bold2.6
2.6Lists2.3
0.00Emoji0.00
0.41Headings0.48
0.19Transitions0.02
Based on 27 + 27 text responses
Research

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