Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Llama 3.1 Nemotron Ultra 253b v1
Llama 3.1 Nemotron Ultra 253b v1 is the stronger model overall, scoring 36.7 to 26.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
NVIDIASummary
- The widest gap is in coding, where Llama 3.1 Nemotron Ultra 253b v1 leads 38.4 to 21.8.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 26.1 | 36.7 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 5 | 11 |
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Category by category
Coding Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| BigCodeBench Instruct | 7% | — |
| LMArena Coding | — | 1312 |
| BigCodeBench Complete | 7.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10% |
Reasoning Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1316 |
Math Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | — |
| LMArena Math | — | 1360 |
Knowledge Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| GPQA Diamond | 33.6% | — |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | — | 1282 |
| LMArena Russian | — | 1284 |
Instruction Following Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Instruction Following | — | 1308 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | — | 1299 |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | — | 1320 |
| LMArena Creative Writing | — | 1314 |
| LMArena Multi-Turn | — | 1317 |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Llama 3.1 Nemotron Ultra 253b v1?
Llama 3.1 Nemotron Ultra 253b v1 is the stronger model overall, scoring 36.7 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Llama 3.1 Nemotron Ultra 253b v1 better for coding?
Llama 3.1 Nemotron Ultra 253b v1 scores higher on coding benchmarks: 38.4 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Llama 3.1 Nemotron Ultra 253b v1 share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.