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.

DeepSeek-V3.1 DeepSeek

42.8

Rank #108 Confirmed

Nemotron 3.5 Lightning NVIDIA

40.0

Rank #155 Confirmed

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 and Nemotron 3.5 Lightning specifications
DeepSeek-V3.1Nemotron 3.5 Lightning
ProviderDeepSeekNVIDIA
Noometry Index42.840.0
Released2025-08-212026-08-11
WeightsOpenOpen
Context window164K262K
Max output8K262K
Input $ / M tokens$0.25$0.05
Output $ / M tokens$0.95$0.20
Results tracked2718

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Too close to call

DeepSeek-V3.1: 40.3 (#144), Nemotron 3.5 Lightning: 40.4 (#141)

Coding benchmarks
BenchmarkDeepSeek-V3.1Nemotron 3.5 Lightning
LMArena Coding14171375
WeirdML38.4%—

Reasoning DeepSeek-V3.1 leads

DeepSeek-V3.1: 27.9 (#110), Nemotron 3.5 Lightning: 26.8 (#127)

Reasoning benchmarks
BenchmarkDeepSeek-V3.1Nemotron 3.5 Lightning
LMArena Hard Prompts14171337
SimpleBench40%—
Kagi LLM Benchmark53.2%—
DTBench82.7%—
LMCA24.3%—
Epoch Capabilities Index139.92—
ForecastBench58—

Math DeepSeek-V3.1 leads

DeepSeek-V3.1: 38.9 (#122), Nemotron 3.5 Lightning: 37.5 (#155)

Math benchmarks
BenchmarkDeepSeek-V3.1Nemotron 3.5 Lightning
LMArena Math14201359

Knowledge DeepSeek-V3.1 leads

DeepSeek-V3.1: 43.7 (#90), Nemotron 3.5 Lightning: 37.5 (#154)

Knowledge benchmarks
BenchmarkDeepSeek-V3.1Nemotron 3.5 Lightning
LMArena Expert14051356
Vectara Hallucination Rate5.5%—

Multilingual DeepSeek-V3.1 leads

DeepSeek-V3.1: 51.6 (#106), Nemotron 3.5 Lightning: 44.0 (#180)

Multilingual benchmarks
BenchmarkDeepSeek-V3.1Nemotron 3.5 Lightning
LMArena Non-English14001295
LMArena Chinese14691359
LMArena French14471366
LMArena German14111282
LMArena Japanese13781206
LMArena Korean13371238
LMArena Russian14051253
LMArena Spanish14311345

Instruction Following DeepSeek-V3.1 leads

DeepSeek-V3.1: 73.9 (#110), Nemotron 3.5 Lightning: 69.6 (#170)

Instruction Following benchmarks
BenchmarkDeepSeek-V3.1Nemotron 3.5 Lightning
LMArena Instruction Following14001318

Long Context Nemotron 3.5 Lightning leads

DeepSeek-V3.1: 36.3 (#232), Nemotron 3.5 Lightning: 39.9 (#165)

Long Context benchmarks
BenchmarkDeepSeek-V3.1Nemotron 3.5 Lightning
LMArena Longer Query14221314
Fiction.LiveBench52.8%—

Writing & Preference DeepSeek-V3.1 leads

DeepSeek-V3.1: 60.3 (#98), Nemotron 3.5 Lightning: 48.5 (#201)

Writing & Preference benchmarks
BenchmarkDeepSeek-V3.1Nemotron 3.5 Lightning
LMArena Text14201327
LMArena Creative Writing14011254
EQ-Bench Creative Writing14361280
LMArena Multi-Turn14081328

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.

Related comparisons

Go deeper