DeepSeek V3 0324 vs Nemotron 3 Nano 30B A3B
DeepSeek V3 0324 leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 9.7 to 8.9, and Nemotron 3 Nano 30B A3B costs 4.9x less per output token ($0.22 vs $1.07 per million). Updated October 22, 2026; 14 benchmarks have a result for both.
DeepSeek V3 0324 or Nemotron 3 Nano 30B A3B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick DeepSeek V3 0324 for work measured by LiveCodeBench (Artificial Analysis run) or AA Agentic Index, where it leads.
- Shared results
- 14
- DeepSeek V3 0324 only
- 22
- Nemotron 3 Nano 30B A3B only
- 28
- 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V3 0324
DeepSeek V3 0324 leads, 9.7 against 8.9.
Same board, both measured
Agentic work
AA Agentic Index
Nemotron 3 Nano 30B A3B
Nemotron 3 Nano 30B A3B leads, 1.0 against 0.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only DeepSeek V3 0324 has a GPQA Diamond result, 61.6%.
Directional only
Math
AIME
No call
Only DeepSeek V3 0324 has a AIME result, 52.2%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V3 0324 has a MMLU Pro result, 79.5%.
Directional only
Long documents
Listed context window
Nemotron 3 Nano 30B A3B
Nemotron 3 Nano 30B A3B takes 262K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Nano 30B A3B
DeepSeek V3 0324 $0.0008, Nemotron 3 Nano 30B A3B $0.0002 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3 0324 not benchmarked, Nemotron 3 Nano 30B A3B not benchmarked.
- Widest category
- Math, 50.0 points apart on average over 2 shared benchmarks.
- Widest single gap
- AA Math Index: DeepSeek V3 0324 41.0 against Nemotron 3 Nano 30B A3B 91.0, 50.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.07 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 4.9x apart.
- Context window
- DeepSeek V3 0324 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.
| Category | DeepSeek V3 0324 | Bars | Nemotron 3 Nano 30B A3B | Ties |
|---|---|---|---|---|
| Coding | 3 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 0 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 1 | ||
| All shared boards | 7 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
| Benchmark | DeepSeek V3 0324 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| AA Coding Index | 21.2 | 14.4 | DeepSeek V3 0324 |
| LiveCodeBench (Vals AI) | 65.5% | Not measured | Only DeepSeek V3 0324 measured |
| LiveCodeBench (Artificial Analysis run) | 40.5% | 74.1% | Nemotron 3 Nano 30B A3B |
| SciCode | 39.0% | 30.6% | DeepSeek V3 0324 |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | 13.6% | DeepSeek V3 0324 |
| WeirdML | 36.1% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: coding | Not measured | 1378 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: software and IT | Not measured | 1383 | Only Nemotron 3 Nano 30B A3B measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V3 0324 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 8.9 | DeepSeek V3 0324 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V3 0324 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | 1.0 | Nemotron 3 Nano 30B A3B |
| τ²-Bench Telecom | 47.1% | 40.9% | DeepSeek V3 0324 |
| METR time horizons | 49.6% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3 0324 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | Not measured | Only DeepSeek V3 0324 measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | 75.7% | Nemotron 3 Nano 30B A3B |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 11.4% | Nemotron 3 Nano 30B A3B |
| GPQA Diamond (Epoch AI run) | 67.6% | Not measured | Only DeepSeek V3 0324 measured |
| SimpleBench | 27.2% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: hard prompts | Not measured | 1348 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: expert | Not measured | 1355 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: hard prompts in English | Not measured | 1376 | Only Nemotron 3 Nano 30B A3B measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3 0324 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AIME | 52.2% | Not measured | Only DeepSeek V3 0324 measured |
| MATH 500 (Vals AI) | 88.6% | Not measured | Only DeepSeek V3 0324 measured |
| MGSM (Vals AI) | 91.7% | Not measured | Only DeepSeek V3 0324 measured |
| AA Math Index | 41.0 | 91.0 | Nemotron 3 Nano 30B A3B |
| AIME 2025 (Artificial Analysis run) | 41.0% | 91.0% | Nemotron 3 Nano 30B A3B |
| OTIS Mock AIME | 37.8% | Not measured | Only DeepSeek V3 0324 measured |
| MATH level 5 | 75.5% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: math | Not measured | 1371 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: mathematical work | Not measured | 1375 | Only Nemotron 3 Nano 30B A3B measured |
| MathArena | 7.1% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V3 0324 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | Not measured | Only DeepSeek V3 0324 measured |
| LegalBench (Vals AI) | 77.7% | Not measured | Only DeepSeek V3 0324 measured |
| CorpFin (Vals AI) | 54.7% | Not measured | Only DeepSeek V3 0324 measured |
| TaxEval (Vals AI) | 71.1% | Not measured | Only DeepSeek V3 0324 measured |
| MedQA (Vals AI) | 82.0% | Not measured | Only DeepSeek V3 0324 measured |
| MMLU Pro (Artificial Analysis run) | 81.9% | 79.4% | DeepSeek V3 0324 |
| LMArena Text: science | Not measured | 1353 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: medicine and healthcare | Not measured | 1349 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: legal and government | Not measured | 1341 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: business and finance | Not measured | 1346 | Only Nemotron 3 Nano 30B A3B measured |
| Neither model has a result on the other 10 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V3 0324 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| IFBench | 41.0% | 71.1% | Nemotron 3 Nano 30B A3B |
| Long context reasoning (AA-LCR) | 40.7% | 38.0% | DeepSeek V3 0324 |
| DTBench | 64.8% | Not measured | Only DeepSeek V3 0324 measured |
| LMCA | 15.5% | Not measured | Only DeepSeek V3 0324 measured |
| Fiction.LiveBench | 50.0% | Not measured | Only DeepSeek V3 0324 measured |
| Creative writing (Lech Mazur) | 77.0% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text | Not measured | 1348 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: instruction following | Not measured | 1303 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: creative writing | Not measured | 1269 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: English | Not measured | 1377 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: non-English | Not measured | 1320 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: Chinese | Not measured | 1383 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: German | Not measured | 1348 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: Japanese | Not measured | 1268 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: Korean | Not measured | 1269 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: French | Not measured | 1396 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: Spanish | Not measured | 1376 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: Russian | Not measured | 1304 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: Polish | Not measured | 1303 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: multi-turn | Not measured | 1319 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: longer queries | Not measured | 1300 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: writing and language | Not measured | 1283 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: entertainment and media | Not measured | 1293 | Only Nemotron 3 Nano 30B A3B measured |
| 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
| Benchmark | DeepSeek V3 0324 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| 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
Nemotron 3 Nano 30B A3B costs less
Repository review
50K input + 3K output tokens
Nemotron 3 Nano 30B A3B costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | DeepSeek V3 0324 | NVIDIA Nemotron 3 Nano 30B A3B |
|---|---|---|
| Maker | DeepSeek | NVIDIA |
| Weights | Open weights | Open weights |
| Released | March 24, 2025 | December 14, 2025 |
| Context window | 164K | 262K |
| Input $/Mtok | $0.27 | $0.055 |
| Output $/Mtok | $1.07 | $0.22 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than Nemotron 3 Nano 30B A3B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3 0324 for work measured by LiveCodeBench (Artificial Analysis run) or AA Agentic Index, where it leads.
Which is cheaper, DeepSeek V3 0324 or Nemotron 3 Nano 30B A3B?
DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; Nemotron 3 Nano 30B A3B costs $0.055 and $0.22. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V3 0324 or Nemotron 3 Nano 30B A3B?
Nemotron 3 Nano 30B A3B, with 262K tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs Nemotron 3 Nano 30B A3B comparison based on?
14 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3 0324's coding index rests on 0 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.