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DeepSeek V3.2 vs Nemotron 3 Super

DeepSeek V3.2 leads Nemotron 3 Super on the Artificial Analysis Intelligence Index, 21.5 to 12.8, and Nemotron 3 Super costs 2.0x less per output token ($0.45 vs $0.88 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace DeepSeek V3.2 Replace Nemotron 3 Super
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
37.9
Output $/M
$0.88
33
Nemotron 3 SuperNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.45
2
vs boards won of 35 shared

DeepSeek V3.2 or Nemotron 3 Super: which to pick

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Nemotron 3 Super has none, so the two cannot be ranked on coding.

Pick Nemotron 3 Super for output tokens 2.0x cheaper ($0.45 vs $0.88 per million) and a larger context window (262K against 164K tokens).

Model ADeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved taskModel BNemotron 3 SuperNVIDIANot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
35
DeepSeek V3.2 only
41
Nemotron 3 Super only
4
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
DeepSeek V3.2 30.0 from 3 benchmarks, Nemotron 3 Super not benchmarked.
Widest category
Agentic work, 22.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.2 90.6% against Nemotron 3 Super 67.8%, 22.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.88 against Nemotron 3 Super $0.45 per million output tokens, 2.0x apart.
Context window
DeepSeek V3.2 takes 164K tokens, Nemotron 3 Super 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryDeepSeek V3.2BarsNemotron 3 SuperTies
Coding40
Intelligence10
Agentic work10
Reasoning50
Math21
Knowledge40
General161
All shared boards332
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V3.2 and Nemotron 3 Super
BenchmarkDeepSeek V3.2Nemotron 3 SuperLeader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev1362Not measuredOnly DeepSeek V3.2 measured
AA Coding Index44.237.7DeepSeek V3.2
LiveCodeBench (Vals AI)80.7%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Verified (Vals AI)67.6%Not measuredOnly DeepSeek V3.2 measured
Vibe Code Bench (Vals AI)5.1%Not measuredOnly DeepSeek V3.2 measured
LiveCodeBench (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SciCodeNot measured36.2%Only Nemotron 3 Super measured
Terminal-Bench Hard (Artificial Analysis run)35.6%28.8%DeepSeek V3.2
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
WeirdMLNot measured38.0%Only Nemotron 3 Super measured
ALE-BenchNot measured213.9Only Nemotron 3 Super measured
LMArena Text: coding14531403DeepSeek V3.2
LMArena Text: software and IT14491409DeepSeek V3.2
LMArena WebDev: React1350Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev: HTML1371Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.2 and Nemotron 3 Super
BenchmarkDeepSeek V3.2Nemotron 3 SuperLeader
AA Intelligence Index21.512.8DeepSeek V3.2
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V3.2 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.2 and Nemotron 3 Super
BenchmarkDeepSeek V3.2Nemotron 3 SuperLeader
AA Agentic IndexNot measured1.7Only Nemotron 3 Super measured
τ²-Bench Telecom90.6%67.8%DeepSeek V3.2
APEX-Agents21.3%Not measuredOnly DeepSeek V3.2 measured
Vending-Bench 2$1,034Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for DeepSeek V3.2 and Nemotron 3 Super
BenchmarkDeepSeek V3.2Nemotron 3 SuperLeader
GPQA Diamond80.3%Not measuredOnly DeepSeek V3.2 measured
GPQA Diamond (Artificial Analysis run)84.0%80.0%DeepSeek V3.2
Humanity's Last Exam (Artificial Analysis run)24.6%20.8%DeepSeek V3.2
ARC-AGI57.0%Not measuredOnly DeepSeek V3.2 measured
ARC-AGI-24.0%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: hard prompts14341386DeepSeek V3.2
LMArena Text: expert14361398DeepSeek V3.2
LMArena Text: hard prompts in English14461397DeepSeek V3.2
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for DeepSeek V3.2 and Nemotron 3 Super
BenchmarkDeepSeek V3.2Nemotron 3 SuperLeader
AIME84.6%Not measuredOnly DeepSeek V3.2 measured
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.0Not measuredOnly DeepSeek V3.2 measured
AIME 2025 (Artificial Analysis run)92.0%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: math14351380DeepSeek V3.2
LMArena Text: mathematical work14401405DeepSeek V3.2
MathArena16.0%16.6%Nemotron 3 Super
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V3.2 and Nemotron 3 Super
BenchmarkDeepSeek V3.2Nemotron 3 SuperLeader
MMLU Pro84.9%Not measuredOnly DeepSeek V3.2 measured
LegalBench (Vals AI)76.1%Not measuredOnly DeepSeek V3.2 measured
CaseLaw (Vals AI)55.4%Not measuredOnly DeepSeek V3.2 measured
CorpFin (Vals AI)51.0%Not measuredOnly DeepSeek V3.2 measured
TaxEval (Vals AI)68.2%Not measuredOnly DeepSeek V3.2 measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: science14461387DeepSeek V3.2
LMArena Text: medicine and healthcare14401383DeepSeek V3.2
LMArena Text: legal and government14251392DeepSeek V3.2
LMArena Text: business and finance14101364DeepSeek V3.2
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V3.2 and Nemotron 3 Super
BenchmarkDeepSeek V3.2Nemotron 3 SuperLeader
Design Arena: websites1175Not measuredOnly DeepSeek V3.2 measured
Design Arena: UI components1146Not measuredOnly DeepSeek V3.2 measured
Design Arena: game dev1131Not measuredOnly DeepSeek V3.2 measured
Design Arena: data viz1159Not measuredOnly DeepSeek V3.2 measured
Design Arena: 3D1132Not measuredOnly DeepSeek V3.2 measured
Design Arena: all code categories1163Not measuredOnly DeepSeek V3.2 measured
Design Arena: SVG1031Not measuredOnly DeepSeek V3.2 measured
Design Arena: ASCII art1082Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index161
General benchmarks for DeepSeek V3.2 and Nemotron 3 Super
BenchmarkDeepSeek V3.2Nemotron 3 SuperLeader
IFBench60.7%71.5%Nemotron 3 Super
Long context reasoning (AA-LCR)73.3%65.7%DeepSeek V3.2
DTBench85.6%Not measuredOnly DeepSeek V3.2 measured
LMCA28.8%Not measuredOnly DeepSeek V3.2 measured
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251378DeepSeek V3.2
LMArena Text: instruction following14131347DeepSeek V3.2
LMArena Text: creative writing14001317DeepSeek V3.2
LMArena Text: English14391400DeepSeek V3.2
LMArena Text: non-English14091356DeepSeek V3.2
LMArena Text: Chinese14551431DeepSeek V3.2
LMArena Text: German14131341DeepSeek V3.2
LMArena Text: Japanese1374Not measuredOnly DeepSeek V3.2 measured
LMArena Text: Korean1370Not measuredOnly DeepSeek V3.2 measured
LMArena Text: French14291403DeepSeek V3.2
LMArena Text: Spanish14241418DeepSeek V3.2
LMArena Text: Russian14241336DeepSeek V3.2
LMArena Text: Polish14191346DeepSeek V3.2
LMArena Text: multi-turn14271369DeepSeek V3.2
LMArena Text: longer queries14281362DeepSeek V3.2
LMArena Text: writing and language14071332DeepSeek V3.2
LMArena Text: entertainment and media13951336DeepSeek V3.2
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.2 and Nemotron 3 Super
BenchmarkDeepSeek V3.2Nemotron 3 SuperLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V3.2$0.0007Fits in one request
Nemotron 3 Super$0.0003Fits in one request

Nemotron 3 Super costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.017Fits in one request
Nemotron 3 Super$0.0056Fits in one request

Nemotron 3 Super costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.067Exceeds the context window
Nemotron 3 Super$0.021Fits in one request

Nemotron 3 Super costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V3.2 and Nemotron 3 Super
SpecificationDeepSeek V3.2NVIDIA Nemotron 3 Super
MakerDeepSeekNVIDIA
WeightsOpen weightsOpen weights
ReleasedDecember 1, 2025March 11, 2026
Context window164K262K
Input $/Mtok$0.29$0.085
Output $/Mtok$0.88$0.45
Coding index30.0Not benchmarked
Independent measurements behind it30
Cost per solved task$0.99Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 better than Nemotron 3 Super for coding?

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Nemotron 3 Super has none, so the two cannot be ranked on coding. Pick Nemotron 3 Super for output tokens 2.0x cheaper ($0.45 vs $0.88 per million) and a larger context window (262K against 164K tokens).

Which is cheaper, DeepSeek V3.2 or Nemotron 3 Super?

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; Nemotron 3 Super costs $0.085 and $0.45. Cost per solved task is known for DeepSeek V3.2 only.

Which has the bigger context window, DeepSeek V3.2 or Nemotron 3 Super?

Nemotron 3 Super, with 262K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 vs Nemotron 3 Super comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks and Nemotron 3 Super's on 0. Where only one model has a result, the page says so instead of naming a winner.

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