Model comparison

Gemini 4 Argon vs Llama 2-70B

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 24.4 on the Noometry Index.

Last verified . 13 shared benchmarks.

Gemini 4 Argon Google

56.5

Rank #24 Confirmed

Llama 2-70B Meta

24.4

Rank #349 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Gemini 4 Argon scores higher in 8 categories and Llama 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemini 4 Argon leads 73.9 to 8.1.
  • Llama 2-70B has downloadable open weights; the other is API-only.

Side by side

Gemini 4 Argon and Llama 2-70B specifications
Gemini 4 ArgonLlama 2-70B
ProviderGoogleMeta
Noometry Index56.524.4
Released2026-09-302023-07-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2135

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Category by category

Coding Gemini 4 Argon leads

Gemini 4 Argon: 62.0 (#9), Llama 2-70B: 31.4 (#286)

Coding benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
LMArena Coding15501079
LMArena WebDev1678—
FrontierSWE55%—
SciCode61.8%—

Agentic & Tool Use Not comparable

Gemini 4 Argon: 49.2 (#8), Llama 2-70B: —

Agentic & Tool Use benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
APEX-Agents82.2%—
Vending-Bench 213,718—

Reasoning Gemini 4 Argon leads

Gemini 4 Argon: 44.2 (#47), Llama 2-70B: 14.4 (#325)

Reasoning benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
LMArena Hard Prompts15481073
CritPt27.1%—
DTBench—41.6%
BIG-Bench Hard—64.9%
CommonsenseQA 2.0—50%
Epoch Capabilities Index—113.79
ForecastBench—51.4
HellaSwag—85.3%
LAMBADA—78.9%
PIQA—82.8%
WinoGrande—80.2%

Math Gemini 4 Argon leads

Gemini 4 Argon: 73.9 (#17), Llama 2-70B: 8.1 (#326)

Math benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
LMArena Math15361091
OTIS Mock AIME 2024-2025—0%
ProofBench99%—
MATH Level 5—3.3%
GSM8K—69.6%

Knowledge Gemini 4 Argon leads

Gemini 4 Argon: 43.9 (#89), Llama 2-70B: 7.4 (#310)

Knowledge benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
LMArena Expert15531039
GPQA Diamond—26.3%
ARC (AI2) Challenge—78.3%
BoolQ—88.6%
MMLU—69.9%
OpenBookQA—60.2%
TriviaQA—87.6%

Multimodal Not comparable

Gemini 4 Argon: 46.5 (#14), Llama 2-70B: —

Multimodal benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
Blueprint-Bench 254.4%—

Multilingual Gemini 4 Argon leads

Gemini 4 Argon: 60.3 (#1), Llama 2-70B: 27.7 (#274)

Multilingual benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
LMArena Non-English15231045
LMArena Chinese1610995
LMArena Russian15371083
LMArena Spanish14971143
LMArena French—1090
LMArena German—1041
LMArena Japanese—927
LMArena Korean—964

Instruction Following Gemini 4 Argon leads

Gemini 4 Argon: 80.1 (#2), Llama 2-70B: 54.9 (#278)

Instruction Following benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
LMArena Instruction Following15381071

Long Context Gemini 4 Argon leads

Gemini 4 Argon: 47.6 (#15), Llama 2-70B: 32.3 (#270)

Long Context benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
LMArena Longer Query15491062

Writing & Preference Gemini 4 Argon leads

Gemini 4 Argon: 71.4 (#19), Llama 2-70B: 32.3 (#279)

Writing & Preference benchmarks
BenchmarkGemini 4 ArgonLlama 2-70B
LMArena Text15341115
LMArena Creative Writing15311075
LMArena Multi-Turn15571088

Frequently asked questions

Is Gemini 4 Argon better than Llama 2-70B?

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 24.4 on the Noometry Index.

Is Gemini 4 Argon or Llama 2-70B better for coding?

Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 31.4 in the Noometry coding category.

How many benchmarks do Gemini 4 Argon and Llama 2-70B share?

13 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Llama 2-70B has 35.

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