Model comparison
DeepSeek V4 Flash vs Nemotron 3.5 Lightning
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 39.3 on the Noometry Index. Nemotron 3.5 Lightning costs 3.1× less per token, which makes it the better buy when DeepSeek V4 Flash's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
DeepSeek
NVIDIASummary
- They share 18 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Nemotron 3.5 Lightning in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 25.7.
- Nemotron 3.5 Lightning is cheaper at $0.06 / $0.16 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4 Flash.
- DeepSeek V4 Flash accepts more context: 1M tokens versus 262K.
Side by side
| DeepSeek V4 Flash | Nemotron 3.5 Lightning | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 53.6 | 39.3 |
| Released | 2026-04-24 | 2026-08-11 |
| Weights | Open | Open |
| Context window | 1M | 262K |
| Max output | 393K | 262K |
| Input $ / M tokens | $0.15 | $0.06 |
| Output $ / M tokens | $0.60 | $0.16 |
| Results tracked | 41 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.6 (#56), Nemotron 3.5 Lightning: 39.6 (#143)
| Benchmark | DeepSeek V4 Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Coding | 1457 | 1370 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1581 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#25), Nemotron 3.5 Lightning: 25.7 (#128)
| Benchmark | DeepSeek V4 Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1335 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.51 | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.0 (#31), Nemotron 3.5 Lightning: 34.7 (#156)
| Benchmark | DeepSeek V4 Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Math | 1427 | 1355 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.5 (#43), Nemotron 3.5 Lightning: 36.9 (#154)
| Benchmark | DeepSeek V4 Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Expert | 1441 | 1354 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.2 (#71), Nemotron 3.5 Lightning: 44.0 (#175)
| Benchmark | DeepSeek V4 Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Non-English | 1420 | 1292 |
| LMArena Chinese | 1467 | 1356 |
| LMArena French | 1438 | 1369 |
| LMArena German | 1418 | 1280 |
| LMArena Japanese | 1403 | 1213 |
| LMArena Korean | 1383 | 1233 |
| LMArena Russian | 1428 | 1257 |
| LMArena Spanish | 1437 | 1321 |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 75.1 (#76), Nemotron 3.5 Lightning: 69.8 (#166)
| Benchmark | DeepSeek V4 Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Instruction Following | 1421 | 1317 |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#81), Nemotron 3.5 Lightning: 39.9 (#160)
| Benchmark | DeepSeek V4 Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Longer Query | 1435 | 1312 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 64.0 (#59), Nemotron 3.5 Lightning: 48.5 (#198)
| Benchmark | DeepSeek V4 Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Text | 1432 | 1324 |
| LMArena Creative Writing | 1403 | 1254 |
| EQ-Bench Creative Writing | 1559 | 1280 |
| LMArena Multi-Turn | 1449 | 1327 |
Frequently asked questions
Is DeepSeek V4 Flash better than Nemotron 3.5 Lightning?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 39.3 on the Noometry Index. Nemotron 3.5 Lightning costs 3.1× less per token, which makes it the better buy when DeepSeek V4 Flash's lead doesn't matter for your workload.
Which is cheaper, DeepSeek V4 Flash or Nemotron 3.5 Lightning?
Nemotron 3.5 Lightning is cheaper. It lists at $0.06 per million input tokens and $0.16 per million output tokens; DeepSeek V4 Flash lists at $0.15 and $0.60.
Is DeepSeek V4 Flash or Nemotron 3.5 Lightning better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.6 versus 39.6 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4 Flash does, with 1M tokens against 262K.
How many benchmarks do DeepSeek V4 Flash and Nemotron 3.5 Lightning share?
18 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Nemotron 3.5 Lightning has 18.