Model comparison
Gemma 3n E4b IT vs Llama 3.2 3B
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 28.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
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MetaSummary
- They share 13 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 7 categories and Llama 3.2 3B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 3n E4b IT leads 50.1 to 24.7.
Side by side
| Gemma 3n E4b IT | Llama 3.2 3B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 37.3 | 28.9 |
| Released | — | 2024-09-24 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 118K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.33 |
| Results tracked | 18 | 18 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), Llama 3.2 3B: 27.6 (#319)
| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Coding | 1268 | 1098 |
| BigCodeBench Instruct | — | 23.4% |
| BigCodeBench Complete | — | 28.3% |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, Llama 3.2 3B: 20.1 (#143)
| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |
Reasoning Llama 3.2 3B leads
Gemma 3n E4b IT: 19.9 (#247), Llama 3.2 3B: 21.0 (#228)
| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1095 |
| Kagi LLM Benchmark | 31.5% | — |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), Llama 3.2 3B: 32.4 (#214)
| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1251 | 1126 |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 34.2 (#198), Llama 3.2 3B: 29.7 (#235)
| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1246 | 1090 |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.4 (#183), Llama 3.2 3B: 26.2 (#281)
| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1285 | 1019 |
| LMArena Chinese | 1309 | 1017 |
| LMArena German | 1311 | 1056 |
| LMArena Russian | 1288 | 949 |
| LMArena French | 1330 | — |
| LMArena Japanese | 1272 | — |
| LMArena Korean | 1259 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Gemma 3n E4b IT leads
Gemma 3n E4b IT: 66.1 (#210), Llama 3.2 3B: 56.0 (#275)
| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1089 |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.7 (#191), Llama 3.2 3B: 33.4 (#261)
| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1276 | 1100 |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), Llama 3.2 3B: 24.7 (#307)
| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1306 | 1110 |
| LMArena Creative Writing | 1287 | 1094 |
| LMArena Multi-Turn | 1276 | 1105 |
| EQ-Bench Creative Writing | — | 595 |
Frequently asked questions
Is Gemma 3n E4b IT better than Llama 3.2 3B?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 28.9 on the Noometry Index.
Is Gemma 3n E4b IT or Llama 3.2 3B better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 27.6 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Llama 3.2 3B share?
13 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Llama 3.2 3B has 18.