Model comparison
DeepSeek-V3.2-Speciale vs Nemotron 3.5 Lightning
DeepSeek-V3.2-Speciale and Nemotron 3.5 Lightning score almost the same on the Noometry Index (39.7 vs 40.0), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 1 category and Nemotron 3.5 Lightning in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 26.8.
- Nemotron 3.5 Lightning is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- Nemotron 3.5 Lightning accepts more context: 262K tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | Nemotron 3.5 Lightning | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 39.7 | 40.0 |
| Released | 2025-12-01 | 2026-08-11 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $0.58 | $0.05 |
| Output $ / M tokens | $1.68 | $0.20 |
| Results tracked | 3 | 18 |
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Category by category
Coding Too close to call
DeepSeek-V3.2-Speciale: 40.4 (#140), Nemotron 3.5 Lightning: 40.4 (#141)
| Benchmark | DeepSeek-V3.2-Speciale | Nemotron 3.5 Lightning |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1375 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Nemotron 3.5 Lightning: 26.8 (#127)
| Benchmark | DeepSeek-V3.2-Speciale | Nemotron 3.5 Lightning |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 1337 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Nemotron 3.5 Lightning: 37.5 (#155)
| Benchmark | DeepSeek-V3.2-Speciale | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Math | — | 1359 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Nemotron 3.5 Lightning: 37.5 (#154)
| Benchmark | DeepSeek-V3.2-Speciale | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Expert | — | 1356 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Nemotron 3.5 Lightning: 44.0 (#180)
| Benchmark | DeepSeek-V3.2-Speciale | 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-V3.2-Speciale: —, Nemotron 3.5 Lightning: 69.6 (#170)
| Benchmark | DeepSeek-V3.2-Speciale | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Instruction Following | — | 1318 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Nemotron 3.5 Lightning: 39.9 (#165)
| Benchmark | DeepSeek-V3.2-Speciale | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Longer Query | — | 1314 |
Writing & Preference Nemotron 3.5 Lightning leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Nemotron 3.5 Lightning: 48.5 (#201)
| Benchmark | DeepSeek-V3.2-Speciale | Nemotron 3.5 Lightning |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 1280 |
| LMArena Text | — | 1327 |
| LMArena Creative Writing | — | 1254 |
| LMArena Multi-Turn | — | 1328 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Nemotron 3.5 Lightning?
DeepSeek-V3.2-Speciale and Nemotron 3.5 Lightning score almost the same on the Noometry Index (39.7 vs 40.0), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-V3.2-Speciale 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-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or Nemotron 3.5 Lightning better for coding?
They score almost the same on coding (40.4 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 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Nemotron 3.5 Lightning share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Nemotron 3.5 Lightning has 18.