Model comparison
DeepSeek-R1-Distill-Llama-70B vs Llama 3.1 Nemotron Ultra 253b v1
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 36.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
NVIDIASummary
- The widest gap is in writing & preference, where Llama 3.1 Nemotron Ultra 253b v1 leads 52.2 to 49.0.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 37.8 | 36.7 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 11 |
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Category by category
Coding Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| LMArena Coding | — | 1312 |
| BigCodeBench Complete | 49.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10% |
Reasoning Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| LiveBench Reasoning | 67.6% | — |
| LMArena Hard Prompts | — | 1316 |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| LMArena Math | — | 1360 |
| MATH Level 5 | 89.9% | — |
Knowledge Not comparable
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| GPQA Diamond | 55.7% | — |
Multilingual Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | — | 1282 |
| LMArena Russian | — | 1284 |
Instruction Following Too close to call
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
| LMArena Instruction Following | — | 1308 |
Long Context Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | — | 1299 |
Writing & Preference Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | — | 1320 |
| LMArena Creative Writing | — | 1314 |
| LMArena Multi-Turn | — | 1317 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Llama 3.1 Nemotron Ultra 253b v1?
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 36.7 on the Noometry Index.
Is DeepSeek-R1-Distill-Llama-70B 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 36.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Llama 3.1 Nemotron Ultra 253b v1 share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.
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