Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Nemotron 3.5 Lightning
Nemotron 3.5 Lightning has enough public results to be ranked (#156); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
NVIDIASide by side
| DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 39.7 | 39.3 |
| Released | 2024-05-07 | 2026-08-11 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.06 |
| Output $ / M tokens | — | $0.16 |
| Results tracked | 10 | 18 |
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Category by category
Coding Too close to call
DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141), Nemotron 3.5 Lightning: 39.6 (#143)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1370 |
| BigCodeBench Complete | 59.4% | — |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Nemotron 3.5 Lightning: 25.7 (#128)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Hard Prompts | — | 1335 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.78 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Nemotron 3.5 Lightning: 34.7 (#156)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Math | — | 1355 |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Nemotron 3.5 Lightning: 36.9 (#154)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Expert | — | 1354 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Nemotron 3.5 Lightning: 44.0 (#175)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Non-English | — | 1292 |
| LMArena Chinese | — | 1356 |
| LMArena French | — | 1369 |
| LMArena German | — | 1280 |
| LMArena Japanese | — | 1213 |
| LMArena Korean | — | 1233 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1321 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Nemotron 3.5 Lightning: 69.8 (#166)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Instruction Following | — | 1317 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Nemotron 3.5 Lightning: 39.9 (#160)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Longer Query | — | 1312 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Nemotron 3.5 Lightning: 48.5 (#198)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Text | — | 1324 |
| LMArena Creative Writing | — | 1254 |
| EQ-Bench Creative Writing | — | 1280 |
| LMArena Multi-Turn | — | 1327 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Nemotron 3.5 Lightning?
Nemotron 3.5 Lightning has enough public results to be ranked (#156); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Nemotron 3.5 Lightning better for coding?
They score almost the same on coding (39.8 vs 39.6); test both on your own repository before choosing.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Nemotron 3.5 Lightning share?
0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Nemotron 3.5 Lightning has 18.