Llama 4 Scout vs Nemotron 3 Ultra
Nemotron 3 Ultra leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 22.9 to 6.5, and Llama 4 Scout costs 4.8x less per output token ($0.50 vs $2.40 per million). Updated October 23, 2026; 54 benchmarks have a result for both.
Llama 4 Scout or Nemotron 3 Ultra: which to pick
Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding.
Pick Llama 4 Scout for output tokens 4.8x cheaper ($0.50 vs $2.40 per million) and a larger context window (1.31M against 262K tokens).
- Shared results
- 54
- Llama 4 Scout only
- 28
- Nemotron 3 Ultra only
- 17
- Like-for-like categories
- 8 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
Only Nemotron 3 Ultra has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 22.9 against 6.5.
Same board, both measured
Agentic work
AA Agentic Index
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 20.1 against 0.5.
Same board, both measured
Reasoning
GPQA Diamond
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 86.1% against 47.0%.
Same board, both measured
Math
AIME
No call
Only Llama 4 Scout has a AIME result, 19.0%.
Directional only
Knowledge
MMLU Pro
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 85.8% against 69.6%.
Same board, both measured
Web design
Design Arena: websites
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 1145 against 750.
Same board, both measured
Long documents
Listed context window
Llama 4 Scout
Llama 4 Scout takes 1.31M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Scout
Llama 4 Scout $0.0004, Nemotron 3 Ultra $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Llama 4 Scout has the number, $1.276.
Directional only
At a glance
- Coding index
- Llama 4 Scout not benchmarked, Nemotron 3 Ultra 30.0 from 3 benchmarks.
- Widest category
- Math, 45.5 points apart on average over 3 shared benchmarks.
- Widest single gap
- OTIS Mock AIME: Llama 4 Scout 7.8% against Nemotron 3 Ultra 86.7%, 78.9 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Scout $0.50 against Nemotron 3 Ultra $2.40 per million output tokens, 4.8x apart.
- Context window
- Llama 4 Scout takes 1.31M tokens, Nemotron 3 Ultra 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 | Llama 4 Scout | Bars | Nemotron 3 Ultra | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 7 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 9 | ||
| Web design | 0 | 5 | ||
| General | 0 | 20 | ||
| All shared boards | 0 | 54 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| SWE-bench Verified | 9.1% | Not measured | Only Llama 4 Scout measured |
| AA Coding Index | 8.2 | 49.3 | Nemotron 3 Ultra |
| LiveCodeBench (Vals AI) | 38.5% | 86.0% | Nemotron 3 Ultra |
| SWE-bench Verified (Vals AI) | Not measured | 69.0% | Only Nemotron 3 Ultra measured |
| Vibe Code Bench (Vals AI) | Not measured | 7.6% | Only Nemotron 3 Ultra measured |
| Code migration (Vals AI) | Not measured | 4.9% | Only Nemotron 3 Ultra measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Nemotron 3 Ultra measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 50.9% | Only Nemotron 3 Ultra measured |
| LiveCodeBench (Artificial Analysis run) | 29.9% | Not measured | Only Llama 4 Scout measured |
| SciCode | 21.3% | 40.3% | Nemotron 3 Ultra |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 36.4% | Nemotron 3 Ultra |
| FrontierCode | Not measured | 13.6% | Only Nemotron 3 Ultra measured |
| WeirdML | Not measured | 43.5% | Only Nemotron 3 Ultra measured |
| LMArena Text: coding | 1286 | 1467 | Nemotron 3 Ultra |
| LMArena Text: software and IT | 1286 | 1468 | Nemotron 3 Ultra |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.5 | 22.9 | Nemotron 3 Ultra |
| Epoch Capabilities Index | 129.6 | 146.0 | Nemotron 3 Ultra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Agentic Index | 0.5 | 20.1 | Nemotron 3 Ultra |
| Finance Agent (Vals AI) | Not measured | 37.7% | Only Nemotron 3 Ultra measured |
| Legal Research Bench (Vals AI) | Not measured | 15.4% | Only Nemotron 3 Ultra measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 31.7% | Only Nemotron 3 Ultra measured |
| τ²-Bench Telecom | 15.5% | 83.3% | Nemotron 3 Ultra |
| APEX-Agents | Not measured | 22.7% | Only Nemotron 3 Ultra measured |
| Berkeley Function Calling Leaderboard (BFCL) | 28.1% | Not measured | Only Llama 4 Scout measured |
| MCP Atlas | Not measured | 63.1% | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| GPQA Diamond | 47.0% | 86.1% | Nemotron 3 Ultra |
| MMMU Pro (Vals AI) | 58.8% | Not measured | Only Llama 4 Scout measured |
| GPQA Diamond (Artificial Analysis run) | 58.7% | 86.7% | Nemotron 3 Ultra |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | 28.4% | Nemotron 3 Ultra |
| GPQA Diamond (Epoch AI run) | 51.8% | 85.4% | Nemotron 3 Ultra |
| ARC-AGI | 0.5% | Not measured | Only Llama 4 Scout measured |
| ARC-AGI-2 | 0.0% | Not measured | Only Llama 4 Scout measured |
| Mystery game puzzles | Not measured | 20.0% | Only Nemotron 3 Ultra measured |
| LMArena Text: hard prompts | 1266 | 1452 | Nemotron 3 Ultra |
| LMArena Text: expert | 1235 | 1472 | Nemotron 3 Ultra |
| LMArena Text: hard prompts in English | 1293 | 1453 | Nemotron 3 Ultra |
| LMArena Vision: diagrams | 1125 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: homework | 1148 | Not measured | Only Llama 4 Scout measured |
| Kagi LLM Benchmark | 36.9% | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AIME | 19.0% | Not measured | Only Llama 4 Scout measured |
| MATH 500 (Vals AI) | 79.2% | Not measured | Only Llama 4 Scout measured |
| MGSM (Vals AI) | 88.0% | Not measured | Only Llama 4 Scout measured |
| AA Math Index | 14.0 | Not measured | Only Llama 4 Scout measured |
| AIME 2025 (Artificial Analysis run) | 14.0% | Not measured | Only Llama 4 Scout measured |
| OTIS Mock AIME | 7.8% | 86.7% | Nemotron 3 Ultra |
| ProofBench | Not measured | 2.0% | Only Nemotron 3 Ultra measured |
| MATH level 5 | 62.3% | Not measured | Only Llama 4 Scout measured |
| LMArena Text: math | 1287 | 1457 | Nemotron 3 Ultra |
| LMArena Text: mathematical work | 1286 | 1462 | Nemotron 3 Ultra |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| MMLU Pro | 69.6% | 85.8% | Nemotron 3 Ultra |
| LegalBench (Vals AI) | 72.0% | 82.1% | Nemotron 3 Ultra |
| CorpFin (Vals AI) | 46.8% | 65.5% | Nemotron 3 Ultra |
| TaxEval (Vals AI) | 55.2% | 73.1% | Nemotron 3 Ultra |
| MortgageTax (Vals AI) | 57.8% | Not measured | Only Llama 4 Scout measured |
| MedQA (Vals AI) | 50.9% | Not measured | Only Llama 4 Scout measured |
| MedCode (Vals AI) | 23.3% | 38.6% | Nemotron 3 Ultra |
| MMLU Pro (Artificial Analysis run) | 75.2% | Not measured | Only Llama 4 Scout measured |
| LMArena Text: science | 1278 | 1465 | Nemotron 3 Ultra |
| LMArena Text: medicine and healthcare | 1275 | 1455 | Nemotron 3 Ultra |
| LMArena Text: legal and government | 1285 | 1453 | Nemotron 3 Ultra |
| LMArena Text: business and finance | 1257 | 1435 | Nemotron 3 Ultra |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| Design Arena: websites | 750 | 1145 | Nemotron 3 Ultra |
| Design Arena: UI components | 765 | 1135 | Nemotron 3 Ultra |
| Design Arena: game dev | 772 | 1138 | Nemotron 3 Ultra |
| Design Arena: data viz | 896 | 1142 | Nemotron 3 Ultra |
| Design Arena: 3D | Not measured | 1132 | Only Nemotron 3 Ultra measured |
| Design Arena: all code categories | 789 | 1146 | Nemotron 3 Ultra |
| Design Arena: SVG | Not measured | 1069 | Only Nemotron 3 Ultra measured |
| Design Arena: ASCII art | Not measured | 1100 | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 34.8% | Not measured | Only Llama 4 Scout measured |
| MedScribe (Vals AI) | 50.6% | Not measured | Only Llama 4 Scout measured |
| IFBench | 39.5% | 81.4% | Nemotron 3 Ultra |
| Long context reasoning (AA-LCR) | 27.7% | 79.3% | Nemotron 3 Ultra |
| DTBench | 57.9% | 90.1% | Nemotron 3 Ultra |
| LMCA | 12.0% | 36.9% | Nemotron 3 Ultra |
| Fiction.LiveBench | 36.0% | Not measured | Only Llama 4 Scout measured |
| LMArena Text | 1279 | 1445 | Nemotron 3 Ultra |
| LMArena Text: instruction following | 1248 | 1418 | Nemotron 3 Ultra |
| LMArena Text: creative writing | 1249 | 1398 | Nemotron 3 Ultra |
| LMArena Vision | 1118 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: English | 1304 | 1454 | Nemotron 3 Ultra |
| LMArena Text: non-English | 1252 | 1427 | Nemotron 3 Ultra |
| LMArena Text: Chinese | 1255 | 1498 | Nemotron 3 Ultra |
| LMArena Text: German | 1272 | 1474 | Nemotron 3 Ultra |
| LMArena Text: Japanese | 1206 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: Korean | 1207 | 1385 | Nemotron 3 Ultra |
| LMArena Text: French | 1283 | 1473 | Nemotron 3 Ultra |
| LMArena Text: Spanish | 1278 | 1454 | Nemotron 3 Ultra |
| LMArena Text: Russian | 1263 | 1417 | Nemotron 3 Ultra |
| LMArena Text: Polish | 1265 | 1385 | Nemotron 3 Ultra |
| LMArena Text: multi-turn | 1280 | 1411 | Nemotron 3 Ultra |
| LMArena Text: longer queries | 1265 | 1437 | Nemotron 3 Ultra |
| LMArena Text: writing and language | 1269 | 1405 | Nemotron 3 Ultra |
| LMArena Text: entertainment and media | 1242 | 1397 | Nemotron 3 Ultra |
| LMArena Vision: English | 1143 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: Chinese | 1106 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: reading text | 1117 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: humor | 1102 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: creative writing | 1126 | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | 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
Llama 4 Scout costs less
Repository review
50K input + 3K output tokens
Llama 4 Scout costs less
Agent loop
200K input + 10K output tokens
Llama 4 Scout 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 | Meta Llama 4 Scout | NVIDIA Nemotron 3 Ultra |
|---|---|---|
| Maker | Meta Llama | NVIDIA |
| Weights | Open weights | Open weights |
| Released | April 5, 2025 | June 4, 2026 |
| Context window | 1.31M | 262K |
| Input $/Mtok | $0.175 | $0.60 |
| Output $/Mtok | $0.50 | $2.40 |
| Coding index | Not benchmarked | 30.0 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | $1.276 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Scout better than Nemotron 3 Ultra for coding?
Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 4.8x cheaper ($0.50 vs $2.40 per million) and a larger context window (1.31M against 262K tokens).
Which is cheaper, Llama 4 Scout or Nemotron 3 Ultra?
Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for Llama 4 Scout only.
Which has the bigger context window, Llama 4 Scout or Nemotron 3 Ultra?
Llama 4 Scout, with 1.31M tokens against 262K.
How many benchmarks is the Llama 4 Scout vs Nemotron 3 Ultra comparison based on?
54 benchmarks have a result for both models as of October 23, 2026. Llama 4 Scout's coding index rests on 0 independent benchmarks and Nemotron 3 Ultra's on 3. Where only one model has a result, the page says so instead of naming a winner.