LongCat 2.0 vs Nemotron 3 Nano 30B A3B
LongCat 2.0 leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 19.1 to 8.9, and Nemotron 3 Nano 30B A3B costs 5.5x less per output token ($0.22 vs $1.20 per million). Updated October 22, 2026; 7 benchmarks have a result for both.
LongCat 2.0 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 LongCat 2.0 for a larger context window (1.05M against 262K tokens).
- Shared results
- 7
- LongCat 2.0 only
- 1
- Nemotron 3 Nano 30B A3B only
- 35
- Like-for-like categories
- 5 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
LongCat 2.0
LongCat 2.0 leads, 19.1 against 8.9.
Same board, both measured
Agentic work
AA Agentic Index
LongCat 2.0
LongCat 2.0 leads, 14.0 against 1.0.
Same board, both measured
Long documents
Listed context window
LongCat 2.0
LongCat 2.0 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Nano 30B A3B
LongCat 2.0 $0.0009, Nemotron 3 Nano 30B A3B $0.0002 per turn.
List prices
At a glance
- Coding index
- LongCat 2.0 not benchmarked, Nemotron 3 Nano 30B A3B not benchmarked.
- Widest category
- General, 27.0 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: LongCat 2.0 45.3 against Nemotron 3 Nano 30B A3B 14.4, 30.9 points apart on a 0 to 100 scale.
- Output price
- LongCat 2.0 $1.20 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 5.5x apart.
- Context window
- LongCat 2.0 takes 1.05M 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 | LongCat 2.0 | Bars | Nemotron 3 Nano 30B A3B | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 7 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | LongCat 2.0 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Coding Index | 45.3 | 14.4 | LongCat 2.0 |
| LiveCodeBench (Artificial Analysis run) | Not measured | 74.1% | Only Nemotron 3 Nano 30B A3B measured |
| SciCode | 36.3% | 30.6% | LongCat 2.0 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 13.6% | Only Nemotron 3 Nano 30B A3B measured |
| ALE-Bench | 793.5 | Not measured | Only LongCat 2.0 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 36 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | LongCat 2.0 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 19.1 | 8.9 | LongCat 2.0 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | LongCat 2.0 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Agentic Index | 14.0 | 1.0 | LongCat 2.0 |
| τ²-Bench Telecom | Not measured | 40.9% | Only Nemotron 3 Nano 30B A3B measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | LongCat 2.0 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 78.0% | 75.7% | LongCat 2.0 |
| Humanity's Last Exam (Artificial Analysis run) | 33.7% | 11.4% | LongCat 2.0 |
| 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 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | LongCat 2.0 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 91.0 | Only Nemotron 3 Nano 30B A3B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 91.0% | Only Nemotron 3 Nano 30B A3B 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 |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | LongCat 2.0 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 79.4% | Only Nemotron 3 Nano 30B A3B measured |
| 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 15 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | LongCat 2.0 | 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 index10
| Benchmark | LongCat 2.0 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| IFBench | Not measured | 71.1% | Only Nemotron 3 Nano 30B A3B measured |
| Long context reasoning (AA-LCR) | 65.0% | 38.0% | LongCat 2.0 |
| 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 29 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | LongCat 2.0 | 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 | Meituan LongCat 2.0 | NVIDIA Nemotron 3 Nano 30B A3B |
|---|---|---|
| Maker | Meituan | NVIDIA |
| Weights | Open weights | Open weights |
| Released | July 20, 2026 | December 14, 2025 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.30 | $0.055 |
| Output $/Mtok | $1.20 | $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 LongCat 2.0 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 LongCat 2.0 for a larger context window (1.05M against 262K tokens).
Which is cheaper, LongCat 2.0 or Nemotron 3 Nano 30B A3B?
LongCat 2.0 costs $0.30 per million input tokens and $1.20 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, LongCat 2.0 or Nemotron 3 Nano 30B A3B?
LongCat 2.0, with 1.05M tokens against 262K.
How many benchmarks is the LongCat 2.0 vs Nemotron 3 Nano 30B A3B comparison based on?
7 benchmarks have a result for both models as of October 22, 2026. LongCat 2.0'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.