Model comparison
Llama 3.1-8B vs Nemotron 3 Ultra
Nemotron 3 Ultra is the stronger model overall, scoring 42.5 to 23.0 on the Noometry Index. Llama 3.1-8B costs 16× less per token, which makes it the better buy when Nemotron 3 Ultra's lead doesn't matter for your workload.
Last verified . 26 shared benchmarks.
Meta
NVIDIASummary
- They share 26 benchmarks with published results for both. Llama 3.1-8B scores higher in 0 categories and Nemotron 3 Ultra in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Nemotron 3 Ultra leads 52.5 to 8.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.7% for Llama 3.1-8B and 86.7% for Nemotron 3 Ultra.
- Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.50 / $2.20 for Nemotron 3 Ultra.
- Nemotron 3 Ultra accepts more context: 262K tokens versus 128K.
Side by side
| Llama 3.1-8B | Nemotron 3 Ultra | |
|---|---|---|
| Provider | Meta | NVIDIA |
| Noometry Index | 23.0 | 42.5 |
| Released | 2024-07-23 | 2026-06-04 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 128K |
| Input $ / M tokens | $0.05 | $0.50 |
| Output $ / M tokens | $0.08 | $2.20 |
| Results tracked | 43 | 30 |
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Category by category
Coding Nemotron 3 Ultra leads
Llama 3.1-8B: 20.2 (#340), Nemotron 3 Ultra: 38.1 (#182)
| Benchmark | Llama 3.1-8B | Nemotron 3 Ultra |
|---|---|---|
| SciCode | 13.2% | 40.3% |
| WeirdML | 1.7% | 43.5% |
| LMArena Coding | 1195 | 1468 |
| FrontierCode | — | 13.6% |
| BigCodeBench Instruct | 32.8% | — |
| BigCodeBench Complete | 40.5% | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |
Agentic & Tool Use Too close to call
Llama 3.1-8B: 22.5 (#131), Nemotron 3 Ultra: 23.4 (#126)
| Benchmark | Llama 3.1-8B | Nemotron 3 Ultra |
|---|---|---|
| APEX-Agents | — | 22.7% |
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Nemotron 3 Ultra leads
Llama 3.1-8B: 14.9 (#321), Nemotron 3 Ultra: 31.0 (#82)
| Benchmark | Llama 3.1-8B | Nemotron 3 Ultra |
|---|---|---|
| CritPt | 0% | 3.1% |
| Chess Puzzles | 0% | 12% |
| LMArena Hard Prompts | 1175 | 1452 |
| DTBench | 50.9% | 90.1% |
| LMCA | 5.4% | 36.9% |
| Epoch Capabilities Index | 116.57 | 146.17 |
| Mystery Game Puzzles | — | 20% |
| PIQA | 81.2% | — |
Math Nemotron 3 Ultra leads
Llama 3.1-8B: 10.2 (#317), Nemotron 3 Ultra: 35.3 (#187)
| Benchmark | Llama 3.1-8B | Nemotron 3 Ultra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.7% | 86.7% |
| LMArena Math | 1179 | 1457 |
| ProofBench | — | 2% |
| Omni-MATH | 13.7% | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Nemotron 3 Ultra leads
Llama 3.1-8B: 8.0 (#307), Nemotron 3 Ultra: 52.5 (#61)
| Benchmark | Llama 3.1-8B | Nemotron 3 Ultra |
|---|---|---|
| GPQA Diamond | 27% | 85.4% |
| LMArena Expert | 1144 | 1472 |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |
Multilingual Nemotron 3 Ultra leads
Llama 3.1-8B: 34.0 (#249), Nemotron 3 Ultra: 53.5 (#64)
| Benchmark | Llama 3.1-8B | Nemotron 3 Ultra |
|---|---|---|
| LMArena Non-English | 1148 | 1427 |
| LMArena Chinese | 1151 | 1497 |
| LMArena French | 1177 | 1472 |
| LMArena German | 1144 | 1471 |
| LMArena Korean | 1053 | 1386 |
| LMArena Russian | 1158 | 1417 |
| LMArena Spanish | 1169 | 1454 |
| LMArena Japanese | 1061 | — |
Instruction Following Nemotron 3 Ultra leads
Llama 3.1-8B: 58.9 (#258), Nemotron 3 Ultra: 74.7 (#88)
| Benchmark | Llama 3.1-8B | Nemotron 3 Ultra |
|---|---|---|
| LMArena Instruction Following | 1159 | 1418 |
| IFEval | 74.3% | — |
Long Context Nemotron 3 Ultra leads
Llama 3.1-8B: 35.8 (#238), Nemotron 3 Ultra: 43.9 (#81)
| Benchmark | Llama 3.1-8B | Nemotron 3 Ultra |
|---|---|---|
| LMArena Longer Query | 1182 | 1437 |
Writing & Preference Nemotron 3 Ultra leads
Llama 3.1-8B: 29.7 (#290), Nemotron 3 Ultra: 66.3 (#36)
| Benchmark | Llama 3.1-8B | Nemotron 3 Ultra |
|---|---|---|
| LMArena Text | 1187 | 1445 |
| LMArena Creative Writing | 1154 | 1398 |
| EQ-Bench Creative Writing | 713 | 1692 |
| LMArena Multi-Turn | 1172 | 1411 |
| WildBench | 68.7% | — |
Frequently asked questions
Is Llama 3.1-8B better than Nemotron 3 Ultra?
Nemotron 3 Ultra is the stronger model overall, scoring 42.5 to 23.0 on the Noometry Index. Llama 3.1-8B costs 16× less per token, which makes it the better buy when Nemotron 3 Ultra's lead doesn't matter for your workload.
Which is cheaper, Llama 3.1-8B or Nemotron 3 Ultra?
Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Nemotron 3 Ultra lists at $0.50 and $2.20.
Is Llama 3.1-8B or Nemotron 3 Ultra better for coding?
Nemotron 3 Ultra scores higher on coding benchmarks: 38.1 versus 20.2 in the Noometry coding category.
Which has the bigger context window?
Nemotron 3 Ultra does, with 262K tokens against 128K.
How many benchmarks do Llama 3.1-8B and Nemotron 3 Ultra share?
26 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Nemotron 3 Ultra has 30.