Model comparison
Gemma 1.1 2b IT vs Llama-3.3-70B-Instruct
Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.6 to 29.3 on the Noometry Index.
Last verified . 14 shared benchmarks.
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MetaSummary
- They share 14 benchmarks with published results for both. Gemma 1.1 2b IT scores higher in 3 categories and Llama-3.3-70B-Instruct in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama-3.3-70B-Instruct leads 47.6 to 25.1.
Side by side
| Gemma 1.1 2b IT | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 29.3 | 30.6 |
| Released | — | 2024-12-06 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 16 | 43 |
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Category by category
Coding Too close to call
Gemma 1.1 2b IT: 30.1 (#299), Llama-3.3-70B-Instruct: 31.0 (#290)
| Benchmark | Gemma 1.1 2b IT | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Coding | 1034 | 1268 |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
| HumanEval+ | 17.7% | — |
| MBPP+ | 23.3% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 2b IT: —, Llama-3.3-70B-Instruct: 25.8 (#105)
| Benchmark | Gemma 1.1 2b IT | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning Gemma 1.1 2b IT leads
Gemma 1.1 2b IT: 19.1 (#270), Llama-3.3-70B-Instruct: 14.1 (#327)
| Benchmark | Gemma 1.1 2b IT | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1005 | 1257 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| Epoch Capabilities Index | — | 127.33 |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |
Math Gemma 1.1 2b IT leads
Gemma 1.1 2b IT: 30.8 (#232), Llama-3.3-70B-Instruct: 15.3 (#298)
| Benchmark | Gemma 1.1 2b IT | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Math | 1047 | 1267 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
Knowledge Llama-3.3-70B-Instruct leads
Gemma 1.1 2b IT: 26.5 (#258), Llama-3.3-70B-Instruct: 30.6 (#226)
| Benchmark | Gemma 1.1 2b IT | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Expert | 970 | 1225 |
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| MMLU | — | 86.3% |
Multilingual Llama-3.3-70B-Instruct leads
Gemma 1.1 2b IT: 24.6 (#289), Llama-3.3-70B-Instruct: 39.9 (#220)
| Benchmark | Gemma 1.1 2b IT | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 988 | 1236 |
| LMArena Chinese | 1012 | 1217 |
| LMArena German | 944 | 1251 |
| LMArena Korean | 899 | 1143 |
| LMArena Russian | 990 | 1252 |
| LMArena French | — | 1281 |
| LMArena Japanese | — | 1150 |
| LMArena Spanish | — | 1270 |
Instruction Following Llama-3.3-70B-Instruct leads
Gemma 1.1 2b IT: 49.9 (#299), Llama-3.3-70B-Instruct: 71.1 (#157)
| Benchmark | Gemma 1.1 2b IT | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 992 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context Gemma 1.1 2b IT leads
Gemma 1.1 2b IT: 30.6 (#286), Llama-3.3-70B-Instruct: 26.4 (#295)
| Benchmark | Gemma 1.1 2b IT | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1003 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Llama-3.3-70B-Instruct leads
Gemma 1.1 2b IT: 25.1 (#306), Llama-3.3-70B-Instruct: 47.6 (#207)
| Benchmark | Gemma 1.1 2b IT | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1022 | 1274 |
| LMArena Creative Writing | 998 | 1250 |
| LMArena Multi-Turn | 959 | 1280 |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Gemma 1.1 2b IT better than Llama-3.3-70B-Instruct?
Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.6 to 29.3 on the Noometry Index.
Is Gemma 1.1 2b IT or Llama-3.3-70B-Instruct better for coding?
They score almost the same on coding (30.1 vs 31.0); test both on your own repository before choosing.
How many benchmarks do Gemma 1.1 2b IT and Llama-3.3-70B-Instruct share?
14 benchmarks have published results for both models. Gemma 1.1 2b IT has 16 scored results on Noometry and Llama-3.3-70B-Instruct has 43.