Model comparison

Gemma 4 31B IT vs Llama 2-70B

Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 24.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

Gemma 4 31B IT Google

43.2

Rank #85 Confirmed

Llama 2-70B Meta

24.1

Rank #343 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Gemma 4 31B IT 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 Gemma 4 31B IT leads 41.3 to 7.5.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.3% for Gemma 4 31B IT and 0% for Llama 2-70B.

Side by side

Gemma 4 31B IT and Llama 2-70B specifications
Gemma 4 31B ITLlama 2-70B
ProviderGoogleMeta
Noometry Index43.224.1
Released2026-04-022023-07-18
WeightsOpenOpen
Context window262K—
Max output33K—
Input $ / M tokens$0.09—
Output $ / M tokens$0.34—
Results tracked3535

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Category by category

Coding Gemma 4 31B IT leads

Gemma 4 31B IT: 41.9 (#98), Llama 2-70B: 30.8 (#281)

Coding benchmarks
BenchmarkGemma 4 31B ITLlama 2-70B
LMArena Coding14591079
LMArena WebDev1364—
SciCode43.4%—
WeirdML52.3%—
ALE-Bench925.5—

Reasoning Gemma 4 31B IT leads

Gemma 4 31B IT: 26.4 (#119), Llama 2-70B: 13.7 (#324)

Reasoning benchmarks
BenchmarkGemma 4 31B ITLlama 2-70B
LMArena Hard Prompts14481073
DTBench82.7%41.6%
Epoch Capabilities Index142.74113.59
Kagi LLM Benchmark63.5%—
NYT Connections (extended)70.6%—
CritPt1.4%—
Chess Puzzles5%—
Thematic Generalization53%—
LMCA39.3%—
Surface Evolver Bench30.6%—
BIG-Bench Hard—64.9%
CommonsenseQA 2.0—50%
ForecastBench—51.4
HellaSwag—85.3%
LAMBADA—78.9%
PIQA—82.8%
WinoGrande—80.2%

Math Gemma 4 31B IT leads

Gemma 4 31B IT: 41.3 (#72), Llama 2-70B: 7.5 (#320)

Math benchmarks
BenchmarkGemma 4 31B ITLlama 2-70B
OTIS Mock AIME 2024-202573.3%0%
LMArena Math14641091
MATH Level 5—3.3%
GSM8K—69.6%

Knowledge Gemma 4 31B IT leads

Gemma 4 31B IT: 37.9 (#141), Llama 2-70B: 7.4 (#305)

Knowledge benchmarks
BenchmarkGemma 4 31B ITLlama 2-70B
GPQA Diamond75.8%26.3%
LMArena Expert14651039
SimpleQA Verified10.4%—
Vectara Hallucination Rate7.4%—
ARC (AI2) Challenge—78.3%
BoolQ—88.6%
MMLU—69.9%
OpenBookQA—60.2%
TriviaQA—87.6%

Multimodal Not comparable

Gemma 4 31B IT: 41.0 (#32), Llama 2-70B: —

Multimodal benchmarks
BenchmarkGemma 4 31B ITLlama 2-70B
LMArena Vision1278—
LMArena Document1425—

Multilingual Gemma 4 31B IT leads

Gemma 4 31B IT: 54.0 (#52), Llama 2-70B: 27.9 (#269)

Multilingual benchmarks
BenchmarkGemma 4 31B ITLlama 2-70B
LMArena Non-English14311045
LMArena Chinese1478994
LMArena French14361089
LMArena Russian14621083
LMArena Spanish14431142
LMArena German—1041
LMArena Japanese—927
LMArena Korean—964

Instruction Following Gemma 4 31B IT leads

Gemma 4 31B IT: 75.6 (#58), Llama 2-70B: 55.1 (#273)

Instruction Following benchmarks
BenchmarkGemma 4 31B ITLlama 2-70B
LMArena Instruction Following14331071

Long Context Gemma 4 31B IT leads

Gemma 4 31B IT: 44.2 (#67), Llama 2-70B: 32.2 (#265)

Long Context benchmarks
BenchmarkGemma 4 31B ITLlama 2-70B
LMArena Longer Query14461062

Writing & Preference Gemma 4 31B IT leads

Gemma 4 31B IT: 60.7 (#92), Llama 2-70B: 32.5 (#274)

Writing & Preference benchmarks
BenchmarkGemma 4 31B ITLlama 2-70B
LMArena Text14431115
LMArena Creative Writing14161075
LMArena Multi-Turn14521088
EQ-Bench Creative Writing1368—
EQ-Bench 41120—

Frequently asked questions

Is Gemma 4 31B IT better than Llama 2-70B?

Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 24.1 on the Noometry Index.

Is Gemma 4 31B IT or Llama 2-70B better for coding?

Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 30.8 in the Noometry coding category.

How many benchmarks do Gemma 4 31B IT and Llama 2-70B share?

18 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Llama 2-70B has 35.

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