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  5. DeepSeek V3.2vsMuse Spark 1.3
Updated Sep 2026

DeepSeek V3.2vsMuse Spark 1.3

DeepSeek V3.2 is cheaper than Muse Spark 1.3 at $0.28/M vs $1.25/M input tokens.

DeepSeek V3.2 and Muse Spark 1.3 compared across 54 shared prompts
SpecDeepSeek V3.2Muse Spark 1.3
Input price$0.28/M tokens$1.25/M tokens
Output price$0.42/M tokens$4.25/M tokens
Context window131K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025Sep 2026
Our Verdict
Muse Spark 1.3
Muse Spark 1.3
DeepSeek V3.2
DeepSeek V3.2Runner-up

Not enough votes to call it. On the specs, Muse Spark 1.3 has the edge: newer, bigger context window.

DeepSeek V3.2 costs 10x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V3.2
Input
$0.28
4.5× cheaper
Output
$0.42
10× cheaper
Muse Spark 1.3
Input
$1.25
Output
$4.25

DeepSeek V3.2 is cheaper on both: 4.5× input, 10× output.

Where to run it

16 hosts, cheapest first

DeepSeek V3.215 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.31 out·164k·100% upSStreamLakefp8$0.21 in·$0.32 out·128k·99.6% upDDigitalOcean$0.25 in·$0.80 out·164k·97% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·99% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·99.8% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.5% up
9 more hostsFewer hosts
VVenice$0.27 in·$0.39 out·160k·99.2% upNNovitafp8$0.27 in·$0.40 out·164k·100% upBaidu Qianfanfp8$0.28 in·$0.42 out·131k·100% upAlibaba Cloudfp8$0.37 in·$1.11 out·131k·99.4% upFFriendli$0.50 in·$1.50 out·164k·100% upGoogle Vertex AI$0.56 in·$1.68 out·164k·99.7% upPPhala$1.00 in·$1.00 out·164k·99.6% upMMara$3.00 in·$4.50 out·33k·80.2% upSSambaNova$3.00 in·$4.50 out·33k·92.7% 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 12 Sep 2026.

Writing DNA

Style Comparison

Similarity
31%

DeepSeek V3.2 uses 6.8x more transitions

DeepSeek V3.2
Muse Spark 1.3
54%Vocabulary59%
29wSentence Length14w
0.58Hedging0.28
5.9Bold2.6
4.8Lists2.3
0.00Emoji0.00
0.74Headings0.48
0.12Transitions0.02
Based on 28 + 27 text responses
Research

What we learned reading every model

FAQ

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