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DeepSeek V3.2 vs Nemotron 3 Nano 30B A3B

DeepSeek V3.2 leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 21.5 to 8.9, and Nemotron 3 Nano 30B A3B costs 4.0x less per output token ($0.22 vs $0.88 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Replace DeepSeek V3.2 Replace Nemotron 3 Nano 30B A3B
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
37.9
Output $/M
$0.88
39
Nemotron 3 Nano 30B A3BNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.22
1
vs boards won of 40 shared

DeepSeek V3.2 or Nemotron 3 Nano 30B A3B: which to pick

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Nemotron 3 Nano 30B A3B has none, so the two cannot be ranked on coding.

Pick Nemotron 3 Nano 30B A3B for output tokens 4.0x cheaper ($0.22 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 Nano 30B A3BNVIDIANot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
40
DeepSeek V3.2 only
36
Nemotron 3 Nano 30B A3B only
2
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 Nano 30B A3B not benchmarked.
Widest category
Agentic work, 49.7 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.2 90.6% against Nemotron 3 Nano 30B A3B 40.9%, 49.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.88 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 4.0x apart.
Context window
DeepSeek V3.2 takes 164K tokens, Nemotron 3 Nano 30B A3B 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 Nano 30B A3BTies
Coding50
Intelligence10
Agentic work10
Reasoning50
Math40
Knowledge50
General181
All shared boards391
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for DeepSeek V3.2 and Nemotron 3 Nano 30B A3B
BenchmarkDeepSeek V3.2Nemotron 3 Nano 30B A3BLeader
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 Index44.214.4DeepSeek 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%74.1%DeepSeek V3.2
SciCodeNot measured30.6%Only Nemotron 3 Nano 30B A3B measured
Terminal-Bench Hard (Artificial Analysis run)35.6%13.6%DeepSeek V3.2
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: coding14531378DeepSeek V3.2
LMArena Text: software and IT14491383DeepSeek 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 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.2 and Nemotron 3 Nano 30B A3B
BenchmarkDeepSeek V3.2Nemotron 3 Nano 30B A3BLeader
AA Intelligence Index21.58.9DeepSeek 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 Nano 30B A3B
BenchmarkDeepSeek V3.2Nemotron 3 Nano 30B A3BLeader
AA Agentic IndexNot measured1.0Only Nemotron 3 Nano 30B A3B measured
τ²-Bench Telecom90.6%40.9%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 Nano 30B A3B
BenchmarkDeepSeek V3.2Nemotron 3 Nano 30B A3BLeader
GPQA Diamond80.3%Not measuredOnly DeepSeek V3.2 measured
GPQA Diamond (Artificial Analysis run)84.0%75.7%DeepSeek V3.2
Humanity's Last Exam (Artificial Analysis run)24.6%11.4%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 prompts14341348DeepSeek V3.2
LMArena Text: expert14361355DeepSeek V3.2
LMArena Text: hard prompts in English14461376DeepSeek V3.2
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for DeepSeek V3.2 and Nemotron 3 Nano 30B A3B
BenchmarkDeepSeek V3.2Nemotron 3 Nano 30B A3BLeader
AIME84.6%Not measuredOnly DeepSeek V3.2 measured
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.091.0DeepSeek V3.2
AIME 2025 (Artificial Analysis run)92.0%91.0%DeepSeek V3.2
LMArena Text: math14351371DeepSeek V3.2
LMArena Text: mathematical work14401375DeepSeek V3.2
MathArena16.0%Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.2 and Nemotron 3 Nano 30B A3B
BenchmarkDeepSeek V3.2Nemotron 3 Nano 30B A3BLeader
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%79.4%DeepSeek V3.2
LMArena Text: science14461353DeepSeek V3.2
LMArena Text: medicine and healthcare14401349DeepSeek V3.2
LMArena Text: legal and government14251341DeepSeek V3.2
LMArena Text: business and finance14101346DeepSeek 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 Nano 30B A3B
BenchmarkDeepSeek V3.2Nemotron 3 Nano 30B A3BLeader
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 index181
General benchmarks for DeepSeek V3.2 and Nemotron 3 Nano 30B A3B
BenchmarkDeepSeek V3.2Nemotron 3 Nano 30B A3BLeader
IFBench60.7%71.1%Nemotron 3 Nano 30B A3B
Long context reasoning (AA-LCR)73.3%38.0%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 Text14251348DeepSeek V3.2
LMArena Text: instruction following14131303DeepSeek V3.2
LMArena Text: creative writing14001269DeepSeek V3.2
LMArena Text: English14391377DeepSeek V3.2
LMArena Text: non-English14091320DeepSeek V3.2
LMArena Text: Chinese14551383DeepSeek V3.2
LMArena Text: German14131348DeepSeek V3.2
LMArena Text: Japanese13741268DeepSeek V3.2
LMArena Text: Korean13701269DeepSeek V3.2
LMArena Text: French14291396DeepSeek V3.2
LMArena Text: Spanish14241376DeepSeek V3.2
LMArena Text: Russian14241304DeepSeek V3.2
LMArena Text: Polish14191303DeepSeek V3.2
LMArena Text: multi-turn14271319DeepSeek V3.2
LMArena Text: longer queries14281300DeepSeek V3.2
LMArena Text: writing and language14071283DeepSeek V3.2
LMArena Text: entertainment and media13951293DeepSeek 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 Nano 30B A3B
BenchmarkDeepSeek V3.2Nemotron 3 Nano 30B A3BLeader
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 Nano 30B A3B$0.0002Fits in one request

Nemotron 3 Nano 30B A3B costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.017Fits in one request
Nemotron 3 Nano 30B A3B$0.0034Fits in one request

Nemotron 3 Nano 30B A3B costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.067Exceeds the context window
Nemotron 3 Nano 30B A3B$0.013Fits in one request

Nemotron 3 Nano 30B A3B 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 Nano 30B A3B
SpecificationDeepSeek V3.2NVIDIA Nemotron 3 Nano 30B A3B
MakerDeepSeekNVIDIA
WeightsOpen weightsOpen weights
ReleasedDecember 1, 2025December 14, 2025
Context window164K262K
Input $/Mtok$0.29$0.055
Output $/Mtok$0.88$0.22
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 Nano 30B A3B for coding?

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Nemotron 3 Nano 30B A3B has none, so the two cannot be ranked on coding. Pick Nemotron 3 Nano 30B A3B for output tokens 4.0x cheaper ($0.22 vs $0.88 per million) and a larger context window (262K against 164K tokens).

Which is cheaper, DeepSeek V3.2 or Nemotron 3 Nano 30B A3B?

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; Nemotron 3 Nano 30B A3B costs $0.055 and $0.22. Cost per solved task is known for DeepSeek V3.2 only.

Which has the bigger context window, DeepSeek V3.2 or Nemotron 3 Nano 30B A3B?

Nemotron 3 Nano 30B A3B, with 262K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 vs Nemotron 3 Nano 30B A3B comparison based on?

40 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 Nano 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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