Model comparison
Llama 3.1 Nemotron Ultra 253b v1 vs Llama 3.2 1B
Llama 3.1 Nemotron Ultra 253b v1 is the stronger model overall, scoring 36.7 to 20.1 on the Noometry Index.
Last verified . 11 shared benchmarks.
NVIDIA
MetaSummary
- They share 11 benchmarks with published results for both. Llama 3.1 Nemotron Ultra 253b v1 scores higher in 8 categories and Llama 3.2 1B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama 3.1 Nemotron Ultra 253b v1 leads 52.2 to 21.3.
Side by side
| Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B | |
|---|---|---|
| Provider | NVIDIA | Meta |
| Noometry Index | 36.7 | 20.1 |
| Released | — | 2024-09-24 |
| Weights | Open | Open |
| Context window | — | 60K |
| Max output | — | 54K |
| Input $ / M tokens | — | $0.027 |
| Output $ / M tokens | — | $0.20 |
| Results tracked | 11 | 22 |
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Category by category
Coding Llama 3.1 Nemotron Ultra 253b v1 leads
Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177), Llama 3.2 1B: 21.1 (#338)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1312 | 1070 |
| BigCodeBench Instruct | — | 8.2% |
| BigCodeBench Complete | — | 11.3% |
Agentic & Tool Use Llama 3.1 Nemotron Ultra 253b v1 leads
Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149), Llama 3.2 1B: 14.6 (#150)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10% | 10.8% |
| BALROG | — | 6.6% |
Reasoning Llama 3.1 Nemotron Ultra 253b v1 leads
Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134), Llama 3.2 1B: 16.2 (#308)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1316 | 1044 |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 101.99 |
Math Llama 3.1 Nemotron Ultra 253b v1 leads
Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152), Llama 3.2 1B: 10.4 (#313)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B |
|---|---|---|
| LMArena Math | 1360 | 1086 |
| OTIS Mock AIME 2024-2025 | — | 0.6% |
Knowledge Not comparable
Llama 3.1 Nemotron Ultra 253b v1: —, Llama 3.2 1B: 7.2 (#312)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | — | 23.9% |
| LMArena Expert | — | 1007 |
Multilingual Llama 3.1 Nemotron Ultra 253b v1 leads
Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187), Llama 3.2 1B: 23.8 (#292)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1282 | 973 |
| LMArena Russian | 1284 | 941 |
| LMArena Chinese | — | 959 |
| LMArena German | — | 1014 |
Instruction Following Llama 3.1 Nemotron Ultra 253b v1 leads
Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178), Llama 3.2 1B: 52.4 (#290)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1308 | 1031 |
Long Context Llama 3.1 Nemotron Ultra 253b v1 leads
Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177), Llama 3.2 1B: 31.9 (#274)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1299 | 1050 |
Writing & Preference Llama 3.1 Nemotron Ultra 253b v1 leads
Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175), Llama 3.2 1B: 21.3 (#310)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1320 | 1055 |
| LMArena Creative Writing | 1314 | 1033 |
| LMArena Multi-Turn | 1317 | 1030 |
| EQ-Bench Creative Writing | — | 200 |
Frequently asked questions
Is Llama 3.1 Nemotron Ultra 253b v1 better than Llama 3.2 1B?
Llama 3.1 Nemotron Ultra 253b v1 is the stronger model overall, scoring 36.7 to 20.1 on the Noometry Index.
Is Llama 3.1 Nemotron Ultra 253b v1 or Llama 3.2 1B better for coding?
Llama 3.1 Nemotron Ultra 253b v1 scores higher on coding benchmarks: 38.4 versus 21.1 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron Ultra 253b v1 and Llama 3.2 1B share?
11 benchmarks have published results for both models. Llama 3.1 Nemotron Ultra 253b v1 has 11 scored results on Noometry and Llama 3.2 1B has 22.