Model comparison
DeepSeek-V3.1 vs Nemotron 3.5 Lightning
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 40.0 on the Noometry Index. Nemotron 3.5 Lightning costs 4.9× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 6 categories and Nemotron 3.5 Lightning in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1 leads 60.3 to 48.5.
- Nemotron 3.5 Lightning is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- Nemotron 3.5 Lightning accepts more context: 262K tokens versus 164K.
Side by side
| DeepSeek-V3.1 | Nemotron 3.5 Lightning | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 42.8 | 40.0 |
| Released | 2025-08-21 | 2026-08-11 |
| Weights | Open | Open |
| Context window | 164K | 262K |
| Max output | 8K | 262K |
| Input $ / M tokens | $0.25 | $0.05 |
| Output $ / M tokens | $0.95 | $0.20 |
| Results tracked | 27 | 18 |
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Category by category
Coding Too close to call
DeepSeek-V3.1: 40.3 (#144), Nemotron 3.5 Lightning: 40.4 (#141)
| Benchmark | DeepSeek-V3.1 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Coding | 1417 | 1375 |
| WeirdML | 38.4% | — |
Reasoning DeepSeek-V3.1 leads
DeepSeek-V3.1: 27.9 (#110), Nemotron 3.5 Lightning: 26.8 (#127)
| Benchmark | DeepSeek-V3.1 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1337 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |
Math DeepSeek-V3.1 leads
DeepSeek-V3.1: 38.9 (#122), Nemotron 3.5 Lightning: 37.5 (#155)
| Benchmark | DeepSeek-V3.1 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Math | 1420 | 1359 |
Knowledge DeepSeek-V3.1 leads
DeepSeek-V3.1: 43.7 (#90), Nemotron 3.5 Lightning: 37.5 (#154)
| Benchmark | DeepSeek-V3.1 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Expert | 1405 | 1356 |
| Vectara Hallucination Rate | 5.5% | — |
Multilingual DeepSeek-V3.1 leads
DeepSeek-V3.1: 51.6 (#106), Nemotron 3.5 Lightning: 44.0 (#180)
| Benchmark | DeepSeek-V3.1 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Non-English | 1400 | 1295 |
| LMArena Chinese | 1469 | 1359 |
| LMArena French | 1447 | 1366 |
| LMArena German | 1411 | 1282 |
| LMArena Japanese | 1378 | 1206 |
| LMArena Korean | 1337 | 1238 |
| LMArena Russian | 1405 | 1253 |
| LMArena Spanish | 1431 | 1345 |
Instruction Following DeepSeek-V3.1 leads
DeepSeek-V3.1: 73.9 (#110), Nemotron 3.5 Lightning: 69.6 (#170)
| Benchmark | DeepSeek-V3.1 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Instruction Following | 1400 | 1318 |
Long Context Nemotron 3.5 Lightning leads
DeepSeek-V3.1: 36.3 (#232), Nemotron 3.5 Lightning: 39.9 (#165)
| Benchmark | DeepSeek-V3.1 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Longer Query | 1422 | 1314 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference DeepSeek-V3.1 leads
DeepSeek-V3.1: 60.3 (#98), Nemotron 3.5 Lightning: 48.5 (#201)
| Benchmark | DeepSeek-V3.1 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Text | 1420 | 1327 |
| LMArena Creative Writing | 1401 | 1254 |
| EQ-Bench Creative Writing | 1436 | 1280 |
| LMArena Multi-Turn | 1408 | 1328 |
Frequently asked questions
Is DeepSeek-V3.1 better than Nemotron 3.5 Lightning?
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 40.0 on the Noometry Index. Nemotron 3.5 Lightning costs 4.9× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.1 or Nemotron 3.5 Lightning?
Nemotron 3.5 Lightning is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; DeepSeek-V3.1 lists at $0.25 and $0.95.
Is DeepSeek-V3.1 or Nemotron 3.5 Lightning better for coding?
They score almost the same on coding (40.3 vs 40.4); test both on your own repository before choosing.
Which has the bigger context window?
Nemotron 3.5 Lightning does, with 262K tokens against 164K.
How many benchmarks do DeepSeek-V3.1 and Nemotron 3.5 Lightning share?
18 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Nemotron 3.5 Lightning has 18.