# 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.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-llama-3-2-1b
- Last updated: 2026-10-10
- Shared benchmarks: 18

## 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.

## Snapshot

| | Gemma 3 4B | Llama 3.2 1B |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 27.9 | 19.9 |
| Rank | 320 | 349 |
| Context | 131K | 60K |
| Input $/M | $0.04 | $0.027 |
| Output $/M | $0.08 | $0.20 |
| Weights | Open | Open |

## Coding

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

| 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: 20.7 (#134)
- Llama 3.2 1B: 14.5 (#142)

| Benchmark | Gemma 3 4B | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | 10.8% |
| BALROG | — | 6.6% |

## Reasoning

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

| 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: 15.8 (#286)
- Llama 3.2 1B: 9.7 (#308)

| 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: 11.8 (#294)
- Llama 3.2 1B: 7.2 (#307)

| 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: 42.7 (#189)
- Llama 3.2 1B: 23.9 (#287)

| 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: 65.4 (#219)
- Llama 3.2 1B: 52.6 (#285)

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

## Long Context

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

| Benchmark | Gemma 3 4B | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1274 | 1050 |

## Writing & Preference

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

| 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 |

## FAQ

### 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.