Model comparison
Gemma 1.1 7b IT vs Llama 3.2 3B
Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 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 1.1 7b IT scores higher in 3 categories and Llama 3.2 3B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 1.1 7b IT leads 30.4 to 24.7.
Side by side
| Gemma 1.1 7b IT | Llama 3.2 3B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 31.3 | 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 | 19 | 18 |
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Category by category
Coding Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 31.5 (#284), Llama 3.2 3B: 27.6 (#319)
| Benchmark | Gemma 1.1 7b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Coding | 1084 | 1098 |
| BigCodeBench Instruct | — | 23.4% |
| BigCodeBench Complete | — | 28.3% |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 7b IT: —, Llama 3.2 3B: 20.1 (#143)
| Benchmark | Gemma 1.1 7b IT | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |
Reasoning Too close to call
Gemma 1.1 7b IT: 20.5 (#238), Llama 3.2 3B: 21.0 (#228)
| Benchmark | Gemma 1.1 7b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1071 | 1095 |
Math Too close to call
Gemma 1.1 7b IT: 32.0 (#220), Llama 3.2 3B: 32.4 (#214)
| Benchmark | Gemma 1.1 7b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1107 | 1126 |
Knowledge Llama 3.2 3B leads
Gemma 1.1 7b IT: 28.3 (#247), Llama 3.2 3B: 29.7 (#235)
| Benchmark | Gemma 1.1 7b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1039 | 1090 |
Multilingual Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 28.1 (#273), Llama 3.2 3B: 26.2 (#281)
| Benchmark | Gemma 1.1 7b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1052 | 1019 |
| LMArena Chinese | 1061 | 1017 |
| LMArena German | 1054 | 1056 |
| LMArena Russian | 1046 | 949 |
| LMArena French | 1065 | — |
| LMArena Japanese | 971 | — |
| LMArena Korean | 988 | — |
| LMArena Spanish | 1049 | — |
Instruction Following Llama 3.2 3B leads
Gemma 1.1 7b IT: 54.0 (#283), Llama 3.2 3B: 56.0 (#275)
| Benchmark | Gemma 1.1 7b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1057 | 1089 |
Long Context Llama 3.2 3B leads
Gemma 1.1 7b IT: 32.1 (#272), Llama 3.2 3B: 33.4 (#261)
| Benchmark | Gemma 1.1 7b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1056 | 1100 |
Writing & Preference Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 30.4 (#288), Llama 3.2 3B: 24.7 (#307)
| Benchmark | Gemma 1.1 7b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1094 | 1110 |
| LMArena Creative Writing | 1060 | 1094 |
| LMArena Multi-Turn | 1040 | 1105 |
| EQ-Bench Creative Writing | — | 595 |
Frequently asked questions
Is Gemma 1.1 7b IT better than Llama 3.2 3B?
Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 to 28.9 on the Noometry Index.
Is Gemma 1.1 7b IT or Llama 3.2 3B better for coding?
Gemma 1.1 7b IT scores higher on coding benchmarks: 31.5 versus 27.6 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and Llama 3.2 3B share?
13 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and Llama 3.2 3B has 18.