Model comparison
DeepSeek-V2.5 (Sep 2024) vs Llama 3.1 Nemotron Ultra 253b v1
DeepSeek-V2.5 (Sep 2024) and Llama 3.1 Nemotron Ultra 253b v1 score almost the same on the Noometry Index (37.6 vs 36.7), so choose on price, context window or the category you care about most.
Last verified . 10 shared benchmarks.
DeepSeek
NVIDIASummary
- They share 10 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 1 category and Llama 3.1 Nemotron Ultra 253b v1 in 6 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where Llama 3.1 Nemotron Ultra 253b v1 leads 38.4 to 31.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 37.6 | 36.7 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 11 |
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Category by category
Coding Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Coding | 1309 | 1312 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2.5 (Sep 2024): —, Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10% |
Reasoning Too close to call
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1316 |
Math Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Math | 1288 | 1360 |
Knowledge Not comparable
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Expert | 1266 | — |
Multilingual Too close to call
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | 1273 | 1282 |
| LMArena Russian | 1289 | 1284 |
| LMArena Chinese | 1318 | — |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Instruction Following | 1280 | 1308 |
Long Context Too close to call
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | 1301 | 1299 |
Writing & Preference Llama 3.1 Nemotron Ultra 253b v1 leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | 1294 | 1320 |
| LMArena Creative Writing | 1285 | 1314 |
| LMArena Multi-Turn | 1297 | 1317 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Llama 3.1 Nemotron Ultra 253b v1?
DeepSeek-V2.5 (Sep 2024) and Llama 3.1 Nemotron Ultra 253b v1 score almost the same on the Noometry Index (37.6 vs 36.7), so choose on price, context window or the category you care about most.
Is DeepSeek-V2.5 (Sep 2024) 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 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Llama 3.1 Nemotron Ultra 253b v1 share?
10 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.