Noometry

Model comparison

Llama 3.1 Nemotron 51b Instruct vs Phi-4

Llama 3.1 Nemotron 51b Instruct is the stronger model overall, scoring 35.9 to 31.2 on the Noometry Index.

Last verified . 12 shared benchmarks.

Llama 3.1 Nemotron 51b Instruct NVIDIA

35.9

Rank #222 Confirmed

Phi-4 Microsoft

31.2

Rank #279 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Llama 3.1 Nemotron 51b Instruct scores higher in 5 categories and Phi-4 in 3 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where Llama 3.1 Nemotron 51b Instruct leads 34.6 to 20.8.

Side by side

Llama 3.1 Nemotron 51b InstructPhi-4
ProviderNVIDIAMicrosoft
Noometry Index35.931.2
Released—2024-12-11
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.07
Output $ / M tokens—$0.14
Results tracked1237

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Category by category

Coding Llama 3.1 Nemotron 51b Instruct leads

Llama 3.1 Nemotron 51b Instruct: 35.6 (#222), Phi-4: 34.4 (#239)

BenchmarkLlama 3.1 Nemotron 51b InstructPhi-4
LMArena Coding12231231
BigCodeBench Instruct—45.5%
LiveBench Coding—30.7%
BigCodeBench Complete—55.4%

Agentic & Tool Use Not comparable

Llama 3.1 Nemotron 51b Instruct: —, Phi-4: 22.8 (#128)

BenchmarkLlama 3.1 Nemotron 51b InstructPhi-4
Berkeley Function Calling Leaderboard—28.8%
BALROG—11.6%

Reasoning Llama 3.1 Nemotron 51b Instruct leads

Llama 3.1 Nemotron 51b Instruct: 23.5 (#177), Phi-4: 17.7 (#291)

BenchmarkLlama 3.1 Nemotron 51b InstructPhi-4
LMArena Hard Prompts12031220
Chess Puzzles—1%
LiveBench Reasoning—47.8%
LiveBench Data Analysis—45.2%
Epoch Capabilities Index—130.42
LiveBench—41.6%

Math Llama 3.1 Nemotron 51b Instruct leads

Llama 3.1 Nemotron 51b Instruct: 34.6 (#193), Phi-4: 20.8 (#285)

BenchmarkLlama 3.1 Nemotron 51b InstructPhi-4
LMArena Math12301246
OTIS Mock AIME 2024-2025—13.8%
LiveBench Math—42%
MATH Level 5—64.9%

Knowledge Too close to call

Llama 3.1 Nemotron 51b Instruct: 31.9 (#218), Phi-4: 32.6 (#209)

BenchmarkLlama 3.1 Nemotron 51b InstructPhi-4
LMArena Expert11671203
GPQA Diamond—56.1%
Confabulations—29.4%
Vectara Hallucination Rate—3.7%
MMLU—84.8%

Multilingual Phi-4 leads

Llama 3.1 Nemotron 51b Instruct: 36.1 (#241), Phi-4: 37.2 (#237)

BenchmarkLlama 3.1 Nemotron 51b InstructPhi-4
LMArena Non-English11811197
LMArena Chinese11801212
LMArena Russian11871209
LMArena French—1224
LMArena German—1222
LMArena Japanese—1158
LMArena Korean—1151
LMArena Spanish—1234

Instruction Following Llama 3.1 Nemotron 51b Instruct leads

Llama 3.1 Nemotron 51b Instruct: 62.9 (#233), Phi-4: 60.4 (#251)

BenchmarkLlama 3.1 Nemotron 51b InstructPhi-4
LMArena Instruction Following12011201
LiveBench Instruction Following—58.4%

Long Context Too close to call

Llama 3.1 Nemotron 51b Instruct: 36.5 (#230), Phi-4: 36.9 (#226)

BenchmarkLlama 3.1 Nemotron 51b InstructPhi-4
LMArena Longer Query12051217

Writing & Preference Llama 3.1 Nemotron 51b Instruct leads

Llama 3.1 Nemotron 51b Instruct: 43.4 (#229), Phi-4: 40.5 (#244)

BenchmarkLlama 3.1 Nemotron 51b InstructPhi-4
LMArena Text12281217
LMArena Creative Writing12131182
LMArena Multi-Turn12271206
Short-Story Creative Writing—62.6%
LiveBench Language—25.6%

Frequently asked questions

Is Llama 3.1 Nemotron 51b Instruct better than Phi-4?

Llama 3.1 Nemotron 51b Instruct is the stronger model overall, scoring 35.9 to 31.2 on the Noometry Index.

Is Llama 3.1 Nemotron 51b Instruct or Phi-4 better for coding?

Llama 3.1 Nemotron 51b Instruct scores higher on coding benchmarks: 35.6 versus 34.4 in the Noometry coding category.

How many benchmarks do Llama 3.1 Nemotron 51b Instruct and Phi-4 share?

12 benchmarks have published results for both models. Llama 3.1 Nemotron 51b Instruct has 12 scored results on Noometry and Phi-4 has 37.

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