Noometry

Model comparison

Gemini 4 Argon vs Llama 3-8B

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 25.5 on the Noometry Index.

Last verified . 13 shared benchmarks.

Gemini 4 Argon Google

56.5

Rank #24 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Gemini 4 Argon scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemini 4 Argon leads 73.9 to 8.8.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Gemini 4 ArgonLlama 3-8B
ProviderGoogleMeta
Noometry Index56.525.5
Released2026-09-302024-04-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2134

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Category by category

Coding Gemini 4 Argon leads

Gemini 4 Argon: 62.0 (#9), Llama 3-8B: 31.0 (#289)

BenchmarkGemini 4 ArgonLlama 3-8B
LMArena Coding15501152
LMArena WebDev1678—
FrontierSWE55%—
SciCode61.8%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

Gemini 4 Argon: 49.2 (#8), Llama 3-8B: —

BenchmarkGemini 4 ArgonLlama 3-8B
APEX-Agents82.2%—
Vending-Bench 213,718—

Reasoning Gemini 4 Argon leads

Gemini 4 Argon: 44.2 (#47), Llama 3-8B: 14.3 (#326)

BenchmarkGemini 4 ArgonLlama 3-8B
LMArena Hard Prompts15481133
CritPt27.1%—
Chess Puzzles—0%
DTBench—43.9%
Adversarial NLI—57.3%
Epoch Capabilities Index—116.45
ForecastBench—58.6
WinoGrande—75.7%

Math Gemini 4 Argon leads

Gemini 4 Argon: 73.9 (#17), Llama 3-8B: 8.8 (#323)

BenchmarkGemini 4 ArgonLlama 3-8B
LMArena Math15361151
OTIS Mock AIME 2024-2025—1.9%
ProofBench99%—
MATH Level 5—6.1%

Knowledge Gemini 4 Argon leads

Gemini 4 Argon: 43.9 (#89), Llama 3-8B: 7.8 (#308)

BenchmarkGemini 4 ArgonLlama 3-8B
LMArena Expert15531113
GPQA Diamond—26.1%
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

Gemini 4 Argon: 46.5 (#14), Llama 3-8B: —

BenchmarkGemini 4 ArgonLlama 3-8B
Blueprint-Bench 254.4%—

Multilingual Gemini 4 Argon leads

Gemini 4 Argon: 60.3 (#1), Llama 3-8B: 30.8 (#261)

BenchmarkGemini 4 ArgonLlama 3-8B
LMArena Non-English15231098
LMArena Chinese16101076
LMArena Russian15371109
LMArena Spanish14971173
LMArena French—1159
LMArena German—1104
LMArena Japanese—967
LMArena Korean—1004

Instruction Following Gemini 4 Argon leads

Gemini 4 Argon: 80.1 (#2), Llama 3-8B: 58.4 (#260)

BenchmarkGemini 4 ArgonLlama 3-8B
LMArena Instruction Following15381127

Long Context Gemini 4 Argon leads

Gemini 4 Argon: 47.6 (#15), Llama 3-8B: 34.2 (#251)

BenchmarkGemini 4 ArgonLlama 3-8B
LMArena Longer Query15491128

Writing & Preference Gemini 4 Argon leads

Gemini 4 Argon: 71.4 (#19), Llama 3-8B: 37.5 (#256)

BenchmarkGemini 4 ArgonLlama 3-8B
LMArena Text15341166
LMArena Creative Writing15311150
LMArena Multi-Turn15571152

Frequently asked questions

Is Gemini 4 Argon better than Llama 3-8B?

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 25.5 on the Noometry Index.

Is Gemini 4 Argon or Llama 3-8B better for coding?

Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 31.0 in the Noometry coding category.

How many benchmarks do Gemini 4 Argon and Llama 3-8B share?

13 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Llama 3-8B has 34.

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