Trinity Large Thinking vs Nemotron 3 Nano 30B A3B
Trinity Large Thinking leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 10.8 to 8.9, and Nemotron 3 Nano 30B A3B costs 3.6x less per output token ($0.22 vs $0.80 per million). Updated October 22, 2026; 38 benchmarks have a result for both.
Trinity Large Thinking 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 Trinity Large Thinking for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 38
- Trinity Large Thinking only
- 14
- 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
Trinity Large Thinking
Trinity Large Thinking leads, 10.8 against 8.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Tied at 1.0.
Same board, both measured
Web design
Design Arena: websites
No call
Only Trinity Large Thinking has a Design Arena: websites result, 1137.
Directional only
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Nano 30B A3B
Trinity Large Thinking $0.0006, Nemotron 3 Nano 30B A3B $0.0002 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, Nemotron 3 Nano 30B A3B not benchmarked.
- Widest category
- Agentic work, 24.6 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Trinity Large Thinking 90.1% against Nemotron 3 Nano 30B A3B 40.9%, 49.1 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 3.6x apart.
- Context window
- Both take 262K tokens.
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 | Trinity Large Thinking | Bars | Nemotron 3 Nano 30B A3B | Ties |
|---|---|---|---|---|
| Coding | 3 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | 1 tie | |
| Reasoning | 2 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 3 | 1 | ||
| General | 12 | 6 | 1 tie | |
| All shared boards | 22 | 14 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
| Benchmark | Trinity Large Thinking | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| LMArena WebDev | 1238 | Not measured | Only Trinity Large Thinking measured |
| AA Coding Index | 25.8 | 14.4 | Trinity Large Thinking |
| LiveCodeBench (Artificial Analysis run) | Not measured | 74.1% | Only Nemotron 3 Nano 30B A3B measured |
| SciCode | 40.6% | 30.6% | Trinity Large Thinking |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 13.6% | Trinity Large Thinking |
| LMArena Text: coding | 1357 | 1378 | Nemotron 3 Nano 30B A3B |
| LMArena Text: software and IT | 1362 | 1383 | Nemotron 3 Nano 30B A3B |
| LMArena WebDev: React | 1231 | Not measured | Only Trinity Large Thinking measured |
| LMArena WebDev: HTML | 1240 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Trinity Large Thinking | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 8.9 | Trinity Large Thinking |
| 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 | Trinity Large Thinking | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 1.0 | Tie |
| τ²-Bench Telecom | 90.1% | 40.9% | Trinity Large Thinking |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Trinity Large Thinking | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 75.2% | 75.7% | Nemotron 3 Nano 30B A3B |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 11.4% | Trinity Large Thinking |
| LMArena Text: hard prompts | 1342 | 1348 | Nemotron 3 Nano 30B A3B |
| LMArena Text: expert | 1359 | 1355 | Trinity Large Thinking |
| LMArena Text: hard prompts in English | 1356 | 1376 | Nemotron 3 Nano 30B A3B |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | 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 | 1365 | 1371 | Nemotron 3 Nano 30B A3B |
| LMArena Text: mathematical work | 1350 | 1375 | Nemotron 3 Nano 30B A3B |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Trinity Large Thinking | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 57.9% | Not measured | Only Trinity Large Thinking measured |
| CorpFin (Vals AI) | 54.7% | Not measured | Only Trinity Large Thinking measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 79.4% | Only Nemotron 3 Nano 30B A3B measured |
| LMArena Text: science | 1355 | 1353 | Trinity Large Thinking |
| LMArena Text: medicine and healthcare | 1349 | 1349 | Trinity Large Thinking |
| LMArena Text: legal and government | 1345 | 1341 | Trinity Large Thinking |
| LMArena Text: business and finance | 1329 | 1346 | Nemotron 3 Nano 30B A3B |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Trinity Large Thinking | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: UI components | 1042 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: game dev | 1078 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: data viz | 1098 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: 3D | 1081 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: all code categories | 1117 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: SVG | 1016 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: ASCII art | 1041 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index126
| Benchmark | Trinity Large Thinking | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| IFBench | 56.3% | 71.1% | Nemotron 3 Nano 30B A3B |
| Long context reasoning (AA-LCR) | 38.0% | 38.0% | Tie |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1348 | Nemotron 3 Nano 30B A3B |
| LMArena Text: instruction following | 1326 | 1303 | Trinity Large Thinking |
| LMArena Text: creative writing | 1308 | 1269 | Trinity Large Thinking |
| LMArena Text: English | 1356 | 1377 | Nemotron 3 Nano 30B A3B |
| LMArena Text: non-English | 1325 | 1320 | Trinity Large Thinking |
| LMArena Text: Chinese | 1371 | 1383 | Nemotron 3 Nano 30B A3B |
| LMArena Text: German | 1356 | 1348 | Trinity Large Thinking |
| LMArena Text: Japanese | 1312 | 1268 | Trinity Large Thinking |
| LMArena Text: Korean | 1306 | 1269 | Trinity Large Thinking |
| LMArena Text: French | 1366 | 1396 | Nemotron 3 Nano 30B A3B |
| LMArena Text: Spanish | 1327 | 1376 | Nemotron 3 Nano 30B A3B |
| LMArena Text: Russian | 1338 | 1304 | Trinity Large Thinking |
| LMArena Text: Polish | 1312 | 1303 | Trinity Large Thinking |
| LMArena Text: multi-turn | 1320 | 1319 | Trinity Large Thinking |
| LMArena Text: longer queries | 1318 | 1300 | Trinity Large Thinking |
| LMArena Text: writing and language | 1317 | 1283 | Trinity Large Thinking |
| LMArena Text: entertainment and media | 1296 | 1293 | Trinity Large Thinking |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | 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 | Arcee AI Trinity Large Thinking | NVIDIA Nemotron 3 Nano 30B A3B |
|---|---|---|
| Maker | Arcee AI | NVIDIA |
| Weights | Open weights | Open weights |
| Released | April 1, 2026 | December 14, 2025 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.25 | $0.055 |
| Output $/Mtok | $0.80 | $0.22 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking 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 Trinity Large Thinking for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Trinity Large Thinking or Nemotron 3 Nano 30B A3B?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 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, Trinity Large Thinking or Nemotron 3 Nano 30B A3B?
Neither: both take 262K tokens.
How many benchmarks is the Trinity Large Thinking vs Nemotron 3 Nano 30B A3B comparison based on?
38 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark 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.