Model comparison

Gemma 3 4B vs Llama 3.2 1B

Gemma 3 4B is the stronger model overall, scoring 27.9 to 19.9 on the Noometry Index.

Last verified October 10, 2026. 18 shared benchmarks.

Gemma 3 4B

Google

27.9

Rank #320 Confirmed

Llama 3.2 1B

Summary

They share 18 benchmarks with published results for both. Gemma 3 4B scores higher in 8 categories and Llama 3.2 1B in 1 category; 9 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where Gemma 3 4B leads 42.2 to 21.4.
The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 19.6% for Gemma 3 4B and 10.8% for Llama 3.2 1B.
Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.027 / $0.20 for Llama 3.2 1B.
Gemma 3 4B accepts more context: 131K tokens versus 60K.

Side by side

Gemma 3 4B and Llama 3.2 1B specifications
	Gemma 3 4B	Llama 3.2 1B
Provider	Google	Meta
Noometry Index	27.9	19.9
Released	2025-03-12	2024-09-24
Weights	Open	Open
Context window	131K	60K
Max output	4K	54K
Input $ / M tokens	$0.04	$0.027
Output $ / M tokens	$0.08	$0.20
Results tracked	22	22

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Category by category

Coding Gemma 3 4B leads

Gemma 3 4B: 35.3 (#214), Llama 3.2 1B: 20.6 (#333)

Coding benchmarks
Benchmark	Gemma 3 4B	Llama 3.2 1B
LMArena Coding	1230	1071
BigCodeBench Instruct	—	8.2%
BigCodeBench Complete	—	11.3%

Agentic & Tool Use Gemma 3 4B leads

Gemma 3 4B: 20.7 (#134), Llama 3.2 1B: 14.5 (#142)

Agentic & Tool Use benchmarks
Benchmark	Gemma 3 4B	Llama 3.2 1B
Berkeley Function Calling Leaderboard	19.6%	10.8%
BALROG	—	6.6%

Reasoning Llama 3.2 1B leads

Gemma 3 4B: 12.7 (#330), Llama 3.2 1B: 15.6 (#304)

Reasoning benchmarks
Benchmark	Gemma 3 4B	Llama 3.2 1B
Chess Puzzles	0%	0%
LMArena Hard Prompts	1253	1044
Epoch Capabilities Index	116.02	101.95
Kagi LLM Benchmark	25.2%	—
DTBench	50.9%	—
LMCA	2.8%	—

Math Gemma 3 4B leads

Gemma 3 4B: 15.8 (#286), Llama 3.2 1B: 9.7 (#308)

Math benchmarks
Benchmark	Gemma 3 4B	Llama 3.2 1B
OTIS Mock AIME 2024-2025	7.5%	0.6%
LMArena Math	1239	1086

Knowledge Gemma 3 4B leads

Gemma 3 4B: 11.8 (#294), Llama 3.2 1B: 7.2 (#307)

Knowledge benchmarks
Benchmark	Gemma 3 4B	Llama 3.2 1B
GPQA Diamond	23.2%	23.9%
LMArena Expert	1223	1007
Vectara Hallucination Rate	6.4%	—

Multilingual Gemma 3 4B leads

Gemma 3 4B: 42.7 (#189), Llama 3.2 1B: 23.9 (#287)

Multilingual benchmarks
Benchmark	Gemma 3 4B	Llama 3.2 1B
LMArena Non-English	1273	973
LMArena German	1281	1014
LMArena Russian	1294	941
LMArena Chinese	—	958

Instruction Following Gemma 3 4B leads

Gemma 3 4B: 65.4 (#219), Llama 3.2 1B: 52.6 (#285)

Instruction Following benchmarks
Benchmark	Gemma 3 4B	Llama 3.2 1B
LMArena Instruction Following	1239	1031

Long Context Gemma 3 4B leads

Gemma 3 4B: 38.6 (#189), Llama 3.2 1B: 31.9 (#269)

Long Context benchmarks
Benchmark	Gemma 3 4B	Llama 3.2 1B
LMArena Longer Query	1274	1050

Writing & Preference Gemma 3 4B leads

Gemma 3 4B: 42.2 (#234), Llama 3.2 1B: 21.4 (#305)

Writing & Preference benchmarks
Benchmark	Gemma 3 4B	Llama 3.2 1B
LMArena Text	1291	1055
LMArena Creative Writing	1270	1033
EQ-Bench Creative Writing	1068	200
LMArena Multi-Turn	1255	1030

Frequently asked questions

Is Gemma 3 4B better than Llama 3.2 1B?

Gemma 3 4B is the stronger model overall, scoring 27.9 to 19.9 on the Noometry Index.

Which is cheaper, Gemma 3 4B or Llama 3.2 1B?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Llama 3.2 1B lists at $0.027 and $0.20.

Is Gemma 3 4B or Llama 3.2 1B better for coding?

Gemma 3 4B scores higher on coding benchmarks: 35.3 versus 20.6 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 4B does, with 131K tokens against 60K.

How many benchmarks do Gemma 3 4B and Llama 3.2 1B share?

18 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Llama 3.2 1B has 22.