GPT-5 Nano vs Nemotron 3 Nano 30B A3B
GPT-5 Nano leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 13.0 to 8.9, and Nemotron 3 Nano 30B A3B costs 1.8x less per output token ($0.22 vs $0.40 per million). Updated October 23, 2026; 38 benchmarks have a result for both.
GPT-5 Nano 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 GPT-5 Nano for a larger context window (400K against 262K tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 38
- GPT-5 Nano only
- 50
- Nemotron 3 Nano 30B A3B 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
GPT-5 Nano
GPT-5 Nano leads, 13.0 against 8.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Nemotron 3 Nano 30B A3B has a AA Agentic Index result, 1.0.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5 Nano has a GPQA Diamond result, 63.4%.
Directional only
Math
AIME
No call
Only GPT-5 Nano has a AIME result, 81.2%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5 Nano has a MMLU Pro result, 76.1%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-5 Nano has a Design Arena: websites result, 1101.
Directional only
Long documents
Listed context window
GPT-5 Nano
GPT-5 Nano takes 400K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Nano 30B A3B
GPT-5 Nano $0.0003, Nemotron 3 Nano 30B A3B $0.0002 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5 Nano has the number, $0.109.
Directional only
At a glance
- Coding index
- GPT-5 Nano not benchmarked, Nemotron 3 Nano 30B A3B not benchmarked.
- Widest category
- Math, 7.8 points apart on average over 4 shared benchmarks.
- Widest single gap
- LMArena Text: English: GPT-5 Nano 1322 against Nemotron 3 Nano 30B A3B 1378, 9.3 points apart on a 0 to 100 scale.
- Output price
- GPT-5 Nano $0.40 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 1.8x apart.
- Context window
- GPT-5 Nano takes 400K 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 | GPT-5 Nano | Bars | Nemotron 3 Nano 30B A3B | Ties |
|---|---|---|---|---|
| Coding | 2 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 4 | ||
| Knowledge | 0 | 5 | ||
| General | 5 | 13 | ||
| All shared boards | 8 | 30 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
| Benchmark | GPT-5 Nano | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| SWE-bench Verified | 34.8% | Not measured | Only GPT-5 Nano measured |
| AA Coding Index | Not measured | 14.4 | Only Nemotron 3 Nano 30B A3B measured |
| LiveCodeBench (Vals AI) | 70.2% | Not measured | Only GPT-5 Nano measured |
| LiveCodeBench (Artificial Analysis run) | 78.9% | 74.1% | GPT-5 Nano |
| SciCode | Not measured | 30.6% | Only Nemotron 3 Nano 30B A3B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 17.4% | 13.6% | GPT-5 Nano |
| Terminal-Bench | 21.8% | Not measured | Only GPT-5 Nano measured |
| WeirdML | 38.1% | Not measured | Only GPT-5 Nano measured |
| LMArena Text: coding | 1351 | 1378 | Nemotron 3 Nano 30B A3B |
| LMArena Text: software and IT | 1345 | 1382 | Nemotron 3 Nano 30B A3B |
| Neither model has a result on the other 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-5 Nano | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.0 | 8.9 | GPT-5 Nano |
| Epoch Capabilities Index | 139.2 | Not measured | Only GPT-5 Nano measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5 Nano | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 1.0 | Only Nemotron 3 Nano 30B A3B measured |
| τ²-Bench Telecom | 36.5% | 40.9% | Nemotron 3 Nano 30B A3B |
| Berkeley Function Calling Leaderboard (BFCL) | 51.4% | Not measured | Only GPT-5 Nano measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-5 Nano | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| GPQA Diamond | 63.4% | Not measured | Only GPT-5 Nano measured |
| MMMU Pro (Vals AI) | 70.9% | Not measured | Only GPT-5 Nano measured |
| GPQA Diamond (Artificial Analysis run) | 67.6% | 75.7% | Nemotron 3 Nano 30B A3B |
| Humanity's Last Exam (Artificial Analysis run) | 9.5% | 11.4% | Nemotron 3 Nano 30B A3B |
| GPQA Diamond (Epoch AI run) | 69.4% | Not measured | Only GPT-5 Nano measured |
| ARC-AGI | 20.7% | Not measured | Only GPT-5 Nano measured |
| ARC-AGI-2 | 2.6% | Not measured | Only GPT-5 Nano measured |
| Chess puzzles | 22.0% | Not measured | Only GPT-5 Nano measured |
| Mystery game puzzles | 9.0% | Not measured | Only GPT-5 Nano measured |
| VPCT | 37.2% | Not measured | Only GPT-5 Nano measured |
| LMArena Text: hard prompts | 1328 | 1348 | Nemotron 3 Nano 30B A3B |
| LMArena Text: expert | 1321 | 1356 | Nemotron 3 Nano 30B A3B |
| LMArena Text: hard prompts in English | 1339 | 1376 | Nemotron 3 Nano 30B A3B |
| LMArena Vision: diagrams | 1141 | Not measured | Only GPT-5 Nano measured |
| LMArena Vision: homework | 1157 | Not measured | Only GPT-5 Nano measured |
| Kagi LLM Benchmark | 62.2% | Not measured | Only GPT-5 Nano measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | GPT-5 Nano | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AIME | 81.2% | Not measured | Only GPT-5 Nano measured |
| MATH 500 (Vals AI) | 93.8% | Not measured | Only GPT-5 Nano measured |
| MGSM (Vals AI) | 89.3% | Not measured | Only GPT-5 Nano measured |
| AA Math Index | 83.7 | 91.0 | Nemotron 3 Nano 30B A3B |
| AIME 2025 (Artificial Analysis run) | 83.7% | 91.0% | Nemotron 3 Nano 30B A3B |
| OTIS Mock AIME | 81.1% | Not measured | Only GPT-5 Nano measured |
| FrontierMath, tiers 1 to 3 | 20.0% | Not measured | Only GPT-5 Nano measured |
| FrontierMath, tier 4 | 2.4% | Not measured | Only GPT-5 Nano measured |
| ProofBench | 12.0% | Not measured | Only GPT-5 Nano measured |
| MATH level 5 | 95.2% | Not measured | Only GPT-5 Nano measured |
| LMArena Text: math | 1318 | 1371 | Nemotron 3 Nano 30B A3B |
| LMArena Text: mathematical work | 1327 | 1375 | Nemotron 3 Nano 30B A3B |
| MathArena | 12.8% | Not measured | Only GPT-5 Nano measured |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-5 Nano | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| MMLU Pro | 76.1% | Not measured | Only GPT-5 Nano measured |
| LegalBench (Vals AI) | 50.1% | Not measured | Only GPT-5 Nano measured |
| CaseLaw (Vals AI) | 52.6% | Not measured | Only GPT-5 Nano measured |
| TaxEval (Vals AI) | 67.4% | Not measured | Only GPT-5 Nano measured |
| MortgageTax (Vals AI) | 53.6% | Not measured | Only GPT-5 Nano measured |
| MedQA (Vals AI) | 93.3% | Not measured | Only GPT-5 Nano measured |
| MedCode (Vals AI) | 30.4% | Not measured | Only GPT-5 Nano measured |
| MMLU Pro (Artificial Analysis run) | 78.0% | 79.4% | Nemotron 3 Nano 30B A3B |
| SimpleQA Verified | 11.7% | Not measured | Only GPT-5 Nano measured |
| LMArena Text: science | 1319 | 1353 | Nemotron 3 Nano 30B A3B |
| LMArena Text: medicine and healthcare | 1336 | 1349 | Nemotron 3 Nano 30B A3B |
| LMArena Text: legal and government | 1299 | 1341 | Nemotron 3 Nano 30B A3B |
| LMArena Text: business and finance | 1311 | 1345 | Nemotron 3 Nano 30B A3B |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-5 Nano | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| Design Arena: websites | 1101 | Not measured | Only GPT-5 Nano measured |
| Design Arena: UI components | 1064 | Not measured | Only GPT-5 Nano measured |
| Design Arena: game dev | 1044 | Not measured | Only GPT-5 Nano measured |
| Design Arena: data viz | 1056 | Not measured | Only GPT-5 Nano measured |
| Design Arena: 3D | 966 | Not measured | Only GPT-5 Nano measured |
| Design Arena: all code categories | 1084 | Not measured | Only GPT-5 Nano measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index513
| Benchmark | GPT-5 Nano | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 30.4% | Not measured | Only GPT-5 Nano measured |
| MedScribe (Vals AI) | 72.9% | Not measured | Only GPT-5 Nano measured |
| IFBench | 67.6% | 71.1% | Nemotron 3 Nano 30B A3B |
| Long context reasoning (AA-LCR) | 45.0% | 38.0% | GPT-5 Nano |
| DTBench | 62.7% | Not measured | Only GPT-5 Nano measured |
| LMCA | 7.9% | Not measured | Only GPT-5 Nano measured |
| Fiction.LiveBench | 44.4% | Not measured | Only GPT-5 Nano measured |
| LMArena Text | 1320 | 1348 | Nemotron 3 Nano 30B A3B |
| LMArena Text: instruction following | 1306 | 1304 | GPT-5 Nano |
| LMArena Text: creative writing | 1250 | 1270 | Nemotron 3 Nano 30B A3B |
| LMArena Vision | 1159 | Not measured | Only GPT-5 Nano measured |
| LMArena Text: English | 1322 | 1378 | Nemotron 3 Nano 30B A3B |
| LMArena Text: non-English | 1313 | 1320 | Nemotron 3 Nano 30B A3B |
| LMArena Text: Chinese | 1356 | 1383 | Nemotron 3 Nano 30B A3B |
| LMArena Text: German | 1327 | 1348 | Nemotron 3 Nano 30B A3B |
| LMArena Text: Japanese | 1227 | 1269 | Nemotron 3 Nano 30B A3B |
| LMArena Text: Korean | 1269 | 1269 | GPT-5 Nano |
| LMArena Text: French | Not measured | 1396 | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: Spanish | 1360 | 1376 | Nemotron 3 Nano 30B A3B |
| LMArena Text: Russian | 1296 | 1304 | Nemotron 3 Nano 30B A3B |
| LMArena Text: Polish | 1313 | 1302 | GPT-5 Nano |
| LMArena Text: multi-turn | 1311 | 1319 | Nemotron 3 Nano 30B A3B |
| LMArena Text: longer queries | 1312 | 1300 | GPT-5 Nano |
| LMArena Text: writing and language | 1283 | 1284 | Nemotron 3 Nano 30B A3B |
| LMArena Text: entertainment and media | 1269 | 1294 | Nemotron 3 Nano 30B A3B |
| LMArena Vision: English | 1170 | Not measured | Only GPT-5 Nano measured |
| LMArena Vision: Chinese | 1176 | Not measured | Only GPT-5 Nano measured |
| LMArena Vision: reading text | 1152 | Not measured | Only GPT-5 Nano measured |
| LMArena Vision: humor | 1110 | Not measured | Only GPT-5 Nano measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5 Nano | 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 | OpenAI GPT-5 Nano | NVIDIA Nemotron 3 Nano 30B A3B |
|---|---|---|
| Maker | OpenAI | NVIDIA |
| Weights | No public weights listed | Open weights |
| Released | August 7, 2025 | December 14, 2025 |
| Context window | 400K | 262K |
| Input $/Mtok | $0.05 | $0.055 |
| Output $/Mtok | $0.40 | $0.22 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $0.109 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5 Nano 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 GPT-5 Nano for a larger context window (400K against 262K tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, GPT-5 Nano or Nemotron 3 Nano 30B A3B?
GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens; Nemotron 3 Nano 30B A3B costs $0.055 and $0.22. Cost per solved task is known for GPT-5 Nano only.
Which has the bigger context window, GPT-5 Nano or Nemotron 3 Nano 30B A3B?
GPT-5 Nano, with 400K tokens against 262K.
How many benchmarks is the GPT-5 Nano vs Nemotron 3 Nano 30B A3B comparison based on?
38 benchmarks have a result for both models as of October 23, 2026. GPT-5 Nano'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.