Model comparison
DeepSeek Coder 1.3B vs Nemotron 3.5 Lightning
Nemotron 3.5 Lightning has enough public results to be ranked (#155); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
NVIDIASummary
- The widest gap is in coding, where Nemotron 3.5 Lightning leads 40.4 to 31.2.
Side by side
| DeepSeek Coder 1.3B | Nemotron 3.5 Lightning | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 35.0 | 40.0 |
| Released | 2023-11-02 | 2026-08-11 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.20 |
| Results tracked | 9 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Nemotron 3.5 Lightning leads
DeepSeek Coder 1.3B: 31.2 (#287), Nemotron 3.5 Lightning: 40.4 (#141)
| Benchmark | DeepSeek Coder 1.3B | Nemotron 3.5 Lightning |
|---|---|---|
| BigCodeBench Instruct | 22.8% | — |
| LMArena Coding | — | 1375 |
| BigCodeBench Complete | 29.6% | — |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |
Reasoning Not comparable
DeepSeek Coder 1.3B: —, Nemotron 3.5 Lightning: 26.8 (#127)
| Benchmark | DeepSeek Coder 1.3B | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Hard Prompts | — | 1337 |
| Epoch Capabilities Index | 63.6 | — |
| WinoGrande | 53.3% | — |
Math Not comparable
DeepSeek Coder 1.3B: —, Nemotron 3.5 Lightning: 37.5 (#155)
| Benchmark | DeepSeek Coder 1.3B | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Math | — | 1359 |
| GSM8K | 4.4% | — |
Knowledge Not comparable
DeepSeek Coder 1.3B: —, Nemotron 3.5 Lightning: 37.5 (#154)
| Benchmark | DeepSeek Coder 1.3B | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Expert | — | 1356 |
| ARC (AI2) Challenge | 25.4% | — |
| MMLU | 25.8% | — |
Multilingual Not comparable
DeepSeek Coder 1.3B: —, Nemotron 3.5 Lightning: 44.0 (#180)
| Benchmark | DeepSeek Coder 1.3B | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Non-English | — | 1295 |
| LMArena Chinese | — | 1359 |
| LMArena French | — | 1366 |
| LMArena German | — | 1282 |
| LMArena Japanese | — | 1206 |
| LMArena Korean | — | 1238 |
| LMArena Russian | — | 1253 |
| LMArena Spanish | — | 1345 |
Instruction Following Not comparable
DeepSeek Coder 1.3B: —, Nemotron 3.5 Lightning: 69.6 (#170)
| Benchmark | DeepSeek Coder 1.3B | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Instruction Following | — | 1318 |
Long Context Not comparable
DeepSeek Coder 1.3B: —, Nemotron 3.5 Lightning: 39.9 (#165)
| Benchmark | DeepSeek Coder 1.3B | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Longer Query | — | 1314 |
Writing & Preference Not comparable
DeepSeek Coder 1.3B: —, Nemotron 3.5 Lightning: 48.5 (#201)
| Benchmark | DeepSeek Coder 1.3B | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Text | — | 1327 |
| LMArena Creative Writing | — | 1254 |
| EQ-Bench Creative Writing | — | 1280 |
| LMArena Multi-Turn | — | 1328 |
Frequently asked questions
Is DeepSeek Coder 1.3B better than Nemotron 3.5 Lightning?
Nemotron 3.5 Lightning has enough public results to be ranked (#155); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 1.3B or Nemotron 3.5 Lightning better for coding?
Nemotron 3.5 Lightning scores higher on coding benchmarks: 40.4 versus 31.2 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 1.3B and Nemotron 3.5 Lightning share?
0 benchmarks have published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and Nemotron 3.5 Lightning has 18.