Noometry

Model comparison

Gemini 4 Argon vs Llama 3.1-405B

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 30.7 on the Noometry Index.

Last verified . 13 shared benchmarks.

Gemini 4 Argon Google

56.5

Rank #24 Confirmed

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Gemini 4 Argon scores higher in 9 categories and Llama 3.1-405B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemini 4 Argon leads 73.9 to 18.4.
  • Llama 3.1-405B has downloadable open weights; the other is API-only.

Side by side

Gemini 4 ArgonLlama 3.1-405B
ProviderGoogleMeta
Noometry Index56.530.7
Released2026-09-302024-07-23
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2142

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Category by category

Coding Gemini 4 Argon leads

Gemini 4 Argon: 62.0 (#9), Llama 3.1-405B: 33.1 (#262)

BenchmarkGemini 4 ArgonLlama 3.1-405B
LMArena Coding15501291
LMArena WebDev1678—
FrontierSWE55%—
SciCode61.8%—
WeirdML—21.4%

Agentic & Tool Use Gemini 4 Argon leads

Gemini 4 Argon: 49.2 (#8), Llama 3.1-405B: 21.0 (#140)

BenchmarkGemini 4 ArgonLlama 3.1-405B
APEX-Agents82.2%—
TheAgentCompany—7.4%
Cybench—7.5%
Vending-Bench 213,718—

Reasoning Gemini 4 Argon leads

Gemini 4 Argon: 44.2 (#47), Llama 3.1-405B: 16.8 (#300)

BenchmarkGemini 4 ArgonLlama 3.1-405B
LMArena Hard Prompts15481269
SimpleBench—23%
Kagi LLM Benchmark—45%
CritPt27.1%—
DTBench—61.4%
BIG-Bench Hard—82.9%
Epoch Capabilities Index—128.75
ForecastBench—59.9
HellaSwag—89.2%
PIQA—85.9%
WinoGrande—89.2%

Math Gemini 4 Argon leads

Gemini 4 Argon: 73.9 (#17), Llama 3.1-405B: 18.4 (#290)

BenchmarkGemini 4 ArgonLlama 3.1-405B
LMArena Math15361281
OTIS Mock AIME 2024-2025—9.7%
ProofBench99%—
Omni-MATH—24.9%
MATH Level 5—49.8%

Knowledge Gemini 4 Argon leads

Gemini 4 Argon: 43.9 (#89), Llama 3.1-405B: 30.4 (#227)

BenchmarkGemini 4 ArgonLlama 3.1-405B
LMArena Expert15531243
GPQA Diamond—50.9%
MMLU-Pro—72.3%
Confabulations—17.6%
GPQA (HELM)—52.2%
ARC (AI2) Challenge—95.3%
MMLU—84.5%
TriviaQA—82.7%

Multimodal Not comparable

Gemini 4 Argon: 46.5 (#14), Llama 3.1-405B: —

BenchmarkGemini 4 ArgonLlama 3.1-405B
Blueprint-Bench 254.4%—

Multilingual Gemini 4 Argon leads

Gemini 4 Argon: 60.3 (#1), Llama 3.1-405B: 40.7 (#214)

BenchmarkGemini 4 ArgonLlama 3.1-405B
LMArena Non-English15231248
LMArena Chinese16101242
LMArena Russian15371265
LMArena Spanish14971260
LMArena French—1279
LMArena German—1252
LMArena Japanese—1208
LMArena Korean—1184

Instruction Following Gemini 4 Argon leads

Gemini 4 Argon: 80.1 (#2), Llama 3.1-405B: 65.9 (#214)

BenchmarkGemini 4 ArgonLlama 3.1-405B
LMArena Instruction Following15381259
IFEval—81.1%

Long Context Gemini 4 Argon leads

Gemini 4 Argon: 47.6 (#15), Llama 3.1-405B: 38.4 (#197)

BenchmarkGemini 4 ArgonLlama 3.1-405B
LMArena Longer Query15491266

Writing & Preference Gemini 4 Argon leads

Gemini 4 Argon: 71.4 (#19), Llama 3.1-405B: 38.9 (#251)

BenchmarkGemini 4 ArgonLlama 3.1-405B
LMArena Text15341284
LMArena Creative Writing15311262
LMArena Multi-Turn15571297
EQ-Bench Creative Writing—870
WildBench—78.3%

Frequently asked questions

Is Gemini 4 Argon better than Llama 3.1-405B?

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 30.7 on the Noometry Index.

Is Gemini 4 Argon or Llama 3.1-405B better for coding?

Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 33.1 in the Noometry coding category.

How many benchmarks do Gemini 4 Argon and Llama 3.1-405B share?

13 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Llama 3.1-405B has 42.

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