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  5. DeepSeek V3.2vsNVIDIA Nemotron 3 Super (free)
Updated Mar 2026

DeepSeek V3.2vsNVIDIA Nemotron 3 Super (free)

NVIDIA Nemotron 3 Super (free) has a larger context window than DeepSeek V3.2 (262K tokens vs 131K tokens).

DeepSeek V3.2 and NVIDIA Nemotron 3 Super (free) compared across 53 shared prompts
SpecDeepSeek V3.2NVIDIA Nemotron 3 Super (free)
Input price$0.28/M tokens—
Output price$0.42/M tokens—
Context window131K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoYes (1 provider)
ReleasedDec 2025Mar 2026
Our Verdict
DeepSeek V3.2
DeepSeek V3.2
NVIDIA Nemotron 3 Super (free)
NVIDIA Nemotron 3 Super (free)

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

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
Output
$0.42
NVIDIA Nemotron 3 Super (free)
Input
—
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·99.5% upDDigitalOcean$0.25 in·$0.80 out·164k·96.9% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·99% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·99.9% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.6% 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·99.5% 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·83% upSSambaNova$3.00 in·$4.50 out·33k·91.3% up
NVIDIA Nemotron 3 Super (free)1 host
HostInOutContextUptime
NVIDIA$0 in·$0 out·262k·99.3% up

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

Writing DNA

Style Comparison

Similarity
59%

NVIDIA Nemotron 3 Super (free) uses 19.8x more emoji

DeepSeek V3.2
NVIDIA Nemotron 3 Super (free)
54%Vocabulary55%
29wSentence Length22w
0.58Hedging0.36
5.9Bold5.1
4.8Lists2.9
0.00Emoji0.20
0.74Headings0.64
0.12Transitions0.17
Based on 28 + 23 text responses
Research

What we learned reading every model

FAQ

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