Model comparison

Llama 2-70B vs Llama 3.2 1B

Llama 2-70B is the stronger model overall, scoring 24.1 to 19.9 on the Noometry Index.

Last verified . 16 shared benchmarks.

Llama 2-70B Meta

24.1

Rank #343 Confirmed

Llama 3.2 1B Meta

19.9

Rank #349 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Llama 2-70B scores higher in 6 categories and Llama 3.2 1B in 2 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Llama 2-70B leads 32.5 to 21.4.

Side by side

Llama 2-70B and Llama 3.2 1B specifications
Llama 2-70BLlama 3.2 1B
ProviderMetaMeta
Noometry Index24.119.9
Released2023-07-182024-09-24
WeightsOpenOpen
Context window—60K
Max output—54K
Input $ / M tokens—$0.027
Output $ / M tokens—$0.20
Results tracked3522

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Category by category

Coding Llama 2-70B leads

Llama 2-70B: 30.8 (#281), Llama 3.2 1B: 20.6 (#333)

Coding benchmarks
BenchmarkLlama 2-70BLlama 3.2 1B
LMArena Coding10791071
BigCodeBench Instruct—8.2%
BigCodeBench Complete—11.3%

Agentic & Tool Use Not comparable

Llama 2-70B: —, Llama 3.2 1B: 14.5 (#142)

Agentic & Tool Use benchmarks
BenchmarkLlama 2-70BLlama 3.2 1B
Berkeley Function Calling Leaderboard—10.8%
BALROG—6.6%

Reasoning Llama 3.2 1B leads

Llama 2-70B: 13.7 (#324), Llama 3.2 1B: 15.6 (#304)

Reasoning benchmarks
BenchmarkLlama 2-70BLlama 3.2 1B
LMArena Hard Prompts10731044
Epoch Capabilities Index113.59101.95
Chess Puzzles—0%
DTBench41.6%—
BIG-Bench Hard64.9%—
CommonsenseQA 2.050%—
ForecastBench51.4—
HellaSwag85.3%—
LAMBADA78.9%—
PIQA82.8%—
WinoGrande80.2%—

Math Llama 3.2 1B leads

Llama 2-70B: 7.5 (#320), Llama 3.2 1B: 9.7 (#308)

Math benchmarks
BenchmarkLlama 2-70BLlama 3.2 1B
OTIS Mock AIME 2024-20250%0.6%
LMArena Math10911086
MATH Level 53.3%—
GSM8K69.6%—

Knowledge Too close to call

Llama 2-70B: 7.4 (#305), Llama 3.2 1B: 7.2 (#307)

Knowledge benchmarks
BenchmarkLlama 2-70BLlama 3.2 1B
GPQA Diamond26.3%23.9%
LMArena Expert10391007
ARC (AI2) Challenge78.3%—
BoolQ88.6%—
MMLU69.9%—
OpenBookQA60.2%—
TriviaQA87.6%—

Multilingual Llama 2-70B leads

Llama 2-70B: 27.9 (#269), Llama 3.2 1B: 23.9 (#287)

Multilingual benchmarks
BenchmarkLlama 2-70BLlama 3.2 1B
LMArena Non-English1045973
LMArena Chinese994958
LMArena German10411014
LMArena Russian1083941
LMArena French1089—
LMArena Japanese927—
LMArena Korean964—
LMArena Spanish1142—

Instruction Following Llama 2-70B leads

Llama 2-70B: 55.1 (#273), Llama 3.2 1B: 52.6 (#285)

Instruction Following benchmarks
BenchmarkLlama 2-70BLlama 3.2 1B
LMArena Instruction Following10711031

Long Context Too close to call

Llama 2-70B: 32.2 (#265), Llama 3.2 1B: 31.9 (#269)

Long Context benchmarks
BenchmarkLlama 2-70BLlama 3.2 1B
LMArena Longer Query10621050

Writing & Preference Llama 2-70B leads

Llama 2-70B: 32.5 (#274), Llama 3.2 1B: 21.4 (#305)

Writing & Preference benchmarks
BenchmarkLlama 2-70BLlama 3.2 1B
LMArena Text11151055
LMArena Creative Writing10751033
LMArena Multi-Turn10881030
EQ-Bench Creative Writing—200

Frequently asked questions

Is Llama 2-70B better than Llama 3.2 1B?

Llama 2-70B is the stronger model overall, scoring 24.1 to 19.9 on the Noometry Index.

Is Llama 2-70B or Llama 3.2 1B better for coding?

Llama 2-70B scores higher on coding benchmarks: 30.8 versus 20.6 in the Noometry coding category.

How many benchmarks do Llama 2-70B and Llama 3.2 1B share?

16 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Llama 3.2 1B has 22.

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