Model comparison

GPT-5 Pro vs Nemotron 3 Super

GPT-5 Pro is the stronger model overall, scoring 46.2 to 39.6 on the Noometry Index. Nemotron 3 Super costs 239× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

GPT-5 Pro OpenAI

46.2

Rank #58 Confirmed

Nemotron 3 Super NVIDIA

39.6

Rank #147 Confirmed

Summary

  • They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Nemotron 3 Super in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5 Pro leads 39.2 to 17.9.
  • The biggest single-benchmark swing is WeirdML: 60.4% for GPT-5 Pro and 38% for Nemotron 3 Super.
  • Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
  • GPT-5 Pro accepts more context: 400K tokens versus 262K.
  • Nemotron 3 Super has downloadable open weights; the other is API-only.

Side by side

GPT-5 Pro and Nemotron 3 Super specifications
GPT-5 ProNemotron 3 Super
ProviderOpenAINVIDIA
Noometry Index46.239.6
Released2025-10-062026-03-11
WeightsProprietaryOpen
Context window400K262K
Max output272K131K
Input $ / M tokens$15$0.08
Output $ / M tokens$120$0.45
Results tracked1221

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Category by category

Coding GPT-5 Pro leads

GPT-5 Pro: 43.4 (#77), Nemotron 3 Super: 38.9 (#153)

Coding benchmarks
BenchmarkGPT-5 ProNemotron 3 Super
WeirdML60.4%38%
SciCode—36%
LMArena Coding—1403
ALE-Bench—213.9
AlgoTune1.31—

Reasoning GPT-5 Pro leads

GPT-5 Pro: 39.2 (#52), Nemotron 3 Super: 17.9 (#274)

Reasoning benchmarks
BenchmarkGPT-5 ProNemotron 3 Super
ARC-AGI-218.3%—
SimpleBench61.6%—
Kagi LLM Benchmark76.8%—
NYT Connections (extended)—15.4%
ARC-AGI-170.2%—
CritPt—3.1%
EnigmaEval18.8%—
LMArena Hard Prompts—1386
Epoch Capabilities Index150.26—

Math GPT-5 Pro leads

GPT-5 Pro: 48.0 (#53), Nemotron 3 Super: 37.6 (#95)

Math benchmarks
BenchmarkGPT-5 ProNemotron 3 Super
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 419.5%—
MathArena Final-Answer Competitions—60.4%
LMArena Math—1381
FrontierMath Tier 4 (v1)14.6%—

Knowledge GPT-5 Pro leads

GPT-5 Pro: 56.2 (#39), Nemotron 3 Super: 38.2 (#136)

Knowledge benchmarks
BenchmarkGPT-5 ProNemotron 3 Super
Humanity's Last Exam31.6%—
LMArena Expert—1397

Multilingual Not comparable

GPT-5 Pro: —, Nemotron 3 Super: 48.6 (#139)

Multilingual benchmarks
BenchmarkGPT-5 ProNemotron 3 Super
LMArena Non-English—1356
LMArena Chinese—1430
LMArena French—1404
LMArena German—1341
LMArena Russian—1336
LMArena Spanish—1417

Instruction Following Not comparable

GPT-5 Pro: —, Nemotron 3 Super: 71.4 (#149)

Instruction Following benchmarks
BenchmarkGPT-5 ProNemotron 3 Super
LMArena Instruction Following—1347

Long Context Not comparable

GPT-5 Pro: —, Nemotron 3 Super: 41.5 (#134)

Long Context benchmarks
BenchmarkGPT-5 ProNemotron 3 Super
LMArena Longer Query—1362

Writing & Preference Not comparable

GPT-5 Pro: —, Nemotron 3 Super: 56.1 (#135)

Writing & Preference benchmarks
BenchmarkGPT-5 ProNemotron 3 Super
LMArena Text—1378
LMArena Creative Writing—1317
LMArena Multi-Turn—1369

Frequently asked questions

Is GPT-5 Pro better than Nemotron 3 Super?

GPT-5 Pro is the stronger model overall, scoring 46.2 to 39.6 on the Noometry Index. Nemotron 3 Super costs 239× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Which is cheaper, GPT-5 Pro or Nemotron 3 Super?

Nemotron 3 Super is cheaper. It lists at $0.08 per million input tokens and $0.45 per million output tokens; GPT-5 Pro lists at $15 and $120.

Is GPT-5 Pro or Nemotron 3 Super better for coding?

GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 262K.

How many benchmarks do GPT-5 Pro and Nemotron 3 Super share?

1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Nemotron 3 Super has 21.

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