Model comparison

Llama 3-8B vs Nemotron 3 Super

Nemotron 3 Super is the stronger model overall, scoring 39.6 to 25.3 on the Noometry Index.

Last verified . 15 shared benchmarks.

Llama 3-8B Meta

25.3

Rank #338 Confirmed

Nemotron 3 Super NVIDIA

39.6

Rank #147 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Nemotron 3 Super in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Nemotron 3 Super leads 38.2 to 7.8.
  • Llama 3-8B is cheaper at $0.14 / $0.14 per million input/output tokens, against $0.08 / $0.45 for Nemotron 3 Super.
  • Nemotron 3 Super accepts more context: 262K tokens versus 8K.

Side by side

Llama 3-8B and Nemotron 3 Super specifications
Llama 3-8BNemotron 3 Super
ProviderMetaNVIDIA
Noometry Index25.339.6
Released2024-04-182026-03-11
WeightsOpenOpen
Context window8K262K
Max output8K131K
Input $ / M tokens$0.14$0.08
Output $ / M tokens$0.14$0.45
Results tracked3421

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Category by category

Coding Nemotron 3 Super leads

Llama 3-8B: 30.5 (#285), Nemotron 3 Super: 38.9 (#153)

Coding benchmarks
BenchmarkLlama 3-8BNemotron 3 Super
LMArena Coding11521403
SciCode—36%
WeirdML—38%
BigCodeBench Instruct31.9%—
BigCodeBench Complete36.9%—
ALE-Bench—213.9
HumanEval+56.7%—
MBPP+54.8%—

Reasoning Nemotron 3 Super leads

Llama 3-8B: 13.8 (#321), Nemotron 3 Super: 17.9 (#274)

Reasoning benchmarks
BenchmarkLlama 3-8BNemotron 3 Super
LMArena Hard Prompts11331386
NYT Connections (extended)—15.4%
CritPt—3.1%
Chess Puzzles0%—
DTBench43.9%—
Adversarial NLI57.3%—
Epoch Capabilities Index116.33—
ForecastBench58.6—
WinoGrande75.7%—

Math Nemotron 3 Super leads

Llama 3-8B: 8.3 (#317), Nemotron 3 Super: 37.6 (#95)

Math benchmarks
BenchmarkLlama 3-8BNemotron 3 Super
LMArena Math11511381
MathArena Final-Answer Competitions—60.4%
OTIS Mock AIME 2024-20251.9%—
MATH Level 56.1%—

Knowledge Nemotron 3 Super leads

Llama 3-8B: 7.8 (#303), Nemotron 3 Super: 38.2 (#136)

Knowledge benchmarks
BenchmarkLlama 3-8BNemotron 3 Super
LMArena Expert11131397
GPQA Diamond26.1%—
ARC (AI2) Challenge82.8%—
MMLU68.8%—
OpenBookQA82.6%—
TriviaQA67.7%—

Multilingual Nemotron 3 Super leads

Llama 3-8B: 31.0 (#256), Nemotron 3 Super: 48.6 (#139)

Multilingual benchmarks
BenchmarkLlama 3-8BNemotron 3 Super
LMArena Non-English10981356
LMArena Chinese10761430
LMArena French11581404
LMArena German11041341
LMArena Russian11091336
LMArena Spanish11721417
LMArena Japanese967—
LMArena Korean1003—

Instruction Following Nemotron 3 Super leads

Llama 3-8B: 58.7 (#255), Nemotron 3 Super: 71.4 (#149)

Instruction Following benchmarks
BenchmarkLlama 3-8BNemotron 3 Super
LMArena Instruction Following11271347

Long Context Nemotron 3 Super leads

Llama 3-8B: 34.2 (#246), Nemotron 3 Super: 41.5 (#134)

Long Context benchmarks
BenchmarkLlama 3-8BNemotron 3 Super
LMArena Longer Query11281362

Writing & Preference Nemotron 3 Super leads

Llama 3-8B: 37.7 (#251), Nemotron 3 Super: 56.1 (#135)

Writing & Preference benchmarks
BenchmarkLlama 3-8BNemotron 3 Super
LMArena Text11661378
LMArena Creative Writing11501317
LMArena Multi-Turn11521369

Frequently asked questions

Is Llama 3-8B better than Nemotron 3 Super?

Nemotron 3 Super is the stronger model overall, scoring 39.6 to 25.3 on the Noometry Index.

Which is cheaper, Llama 3-8B or Nemotron 3 Super?

Llama 3-8B is cheaper. It lists at $0.14 per million input tokens and $0.14 per million output tokens; Nemotron 3 Super lists at $0.08 and $0.45.

Is Llama 3-8B or Nemotron 3 Super better for coding?

Nemotron 3 Super scores higher on coding benchmarks: 38.9 versus 30.5 in the Noometry coding category.

Which has the bigger context window?

Nemotron 3 Super does, with 262K tokens against 8K.

How many benchmarks do Llama 3-8B and Nemotron 3 Super share?

15 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Nemotron 3 Super has 21.

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