Model comparison
Llama 4 Scout vs Nemotron 3 Super
Nemotron 3 Super is the stronger model overall, scoring 39.6 to 27.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
NVIDIASummary
- They share 17 benchmarks with published results for both. Llama 4 Scout scores higher in 0 categories and Nemotron 3 Super in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Nemotron 3 Super leads 37.6 to 18.4.
- The biggest single-benchmark swing is SciCode: 17% for Llama 4 Scout and 36% for Nemotron 3 Super.
- Llama 4 Scout is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.08 / $0.45 for Nemotron 3 Super.
- Nemotron 3 Super accepts more context: 262K tokens versus 128K.
Side by side
| Llama 4 Scout | Nemotron 3 Super | |
|---|---|---|
| Provider | Meta | NVIDIA |
| Noometry Index | 27.4 | 39.6 |
| Released | 2025-04-05 | 2026-03-11 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 131K |
| Input $ / M tokens | $0.10 | $0.08 |
| Output $ / M tokens | $0.30 | $0.45 |
| Results tracked | 43 | 21 |
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Category by category
Coding Nemotron 3 Super leads
Llama 4 Scout: 19.9 (#334), Nemotron 3 Super: 38.9 (#153)
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| SciCode | 17% | 36% |
| LMArena Coding | 1286 | 1403 |
| SWE-bench Verified (bash only) | 9.1% | — |
| WeirdML | — | 38% |
| BigCodeBench Complete | 43.1% | — |
| ALE-Bench | — | 213.9 |
Agentic & Tool Use Not comparable
Llama 4 Scout: 24.4 (#109), Nemotron 3 Super: —
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | — |
Reasoning Nemotron 3 Super leads
Llama 4 Scout: 9.2 (#339), Nemotron 3 Super: 17.9 (#274)
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| CritPt | 0% | 3.1% |
| LMArena Hard Prompts | 1266 | 1386 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 36.9% | — |
| NYT Connections (extended) | — | 15.4% |
| ARC-AGI-1 | 0.5% | — |
| DTBench | 57.9% | — |
| LMCA | 12% | — |
| Epoch Capabilities Index | 129.64 | — |
| ForecastBench | 57.5 | — |
Math Nemotron 3 Super leads
Llama 4 Scout: 18.4 (#280), Nemotron 3 Super: 37.6 (#95)
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1286 | 1381 |
| MathArena Final-Answer Competitions | — | 60.4% |
| OTIS Mock AIME 2024-2025 | 7.8% | — |
| Omni-MATH | 37.3% | — |
| MATH Level 5 | 62.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Nemotron 3 Super leads
Llama 4 Scout: 31.8 (#208), Nemotron 3 Super: 38.2 (#136)
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1236 | 1397 |
| GPQA Diamond | 51.8% | — |
| MMLU-Pro | 74.2% | — |
| Vectara Hallucination Rate | 7.7% | — |
| GPQA (HELM) | 50.7% | — |
Multimodal Not comparable
Llama 4 Scout: 31.6 (#98), Nemotron 3 Super: —
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |
Multilingual Nemotron 3 Super leads
Llama 4 Scout: 41.3 (#207), Nemotron 3 Super: 48.6 (#139)
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1253 | 1356 |
| LMArena Chinese | 1256 | 1430 |
| LMArena French | 1283 | 1404 |
| LMArena German | 1274 | 1341 |
| LMArena Russian | 1263 | 1336 |
| LMArena Spanish | 1277 | 1417 |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1207 | — |
Instruction Following Nemotron 3 Super leads
Llama 4 Scout: 66.0 (#212), Nemotron 3 Super: 71.4 (#149)
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1248 | 1347 |
| IFEval | 81.8% | — |
Long Context Nemotron 3 Super leads
Llama 4 Scout: 27.5 (#289), Nemotron 3 Super: 41.5 (#134)
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1265 | 1362 |
| Fiction.LiveBench | 36% | — |
Writing & Preference Nemotron 3 Super leads
Llama 4 Scout: 37.1 (#256), Nemotron 3 Super: 56.1 (#135)
| Benchmark | Llama 4 Scout | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1279 | 1378 |
| LMArena Creative Writing | 1249 | 1317 |
| LMArena Multi-Turn | 1281 | 1369 |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |
Frequently asked questions
Is Llama 4 Scout better than Nemotron 3 Super?
Nemotron 3 Super is the stronger model overall, scoring 39.6 to 27.4 on the Noometry Index.
Which is cheaper, Llama 4 Scout or Nemotron 3 Super?
Llama 4 Scout is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Nemotron 3 Super lists at $0.08 and $0.45.
Is Llama 4 Scout or Nemotron 3 Super better for coding?
Nemotron 3 Super scores higher on coding benchmarks: 38.9 versus 19.9 in the Noometry coding category.
Which has the bigger context window?
Nemotron 3 Super does, with 262K tokens against 128K.
How many benchmarks do Llama 4 Scout and Nemotron 3 Super share?
17 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Nemotron 3 Super has 21.