Model comparison
Gemma 7B vs Llama-3.3-70B-Instruct
Gemma 7B and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (30.0 vs 30.6), so choose on price, context window or the category you care about most.
Last verified . 15 shared benchmarks.
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MetaSummary
- They share 15 benchmarks with published results for both. Gemma 7B 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 27.1.
Side by side
| Gemma 7B | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 30.0 | 30.6 |
| Released | 2024-02-21 | 2024-12-06 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 27 | 43 |
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Category by category
Coding Too close to call
Gemma 7B: 30.5 (#294), Llama-3.3-70B-Instruct: 31.0 (#290)
| Benchmark | Gemma 7B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Coding | 1048 | 1268 |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, Llama-3.3-70B-Instruct: 25.8 (#105)
| Benchmark | Gemma 7B | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning Gemma 7B leads
Gemma 7B: 19.9 (#249), Llama-3.3-70B-Instruct: 14.1 (#327)
| Benchmark | Gemma 7B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1257 |
| Epoch Capabilities Index | 111.99 | 127.33 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| ForecastBench | — | 58.6 |
| HellaSwag | 82.2% | — |
| LiveBench | — | 50.2% |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Gemma 7B leads
Gemma 7B: 31.2 (#228), Llama-3.3-70B-Instruct: 15.3 (#298)
| Benchmark | Gemma 7B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Math | 1066 | 1267 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
| GSM8K | 46.4% | — |
Knowledge Llama-3.3-70B-Instruct leads
Gemma 7B: 27.3 (#252), Llama-3.3-70B-Instruct: 30.6 (#226)
| Benchmark | Gemma 7B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Expert | 1001 | 1225 |
| MMLU | 66.1% | 86.3% |
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual Llama-3.3-70B-Instruct leads
Gemma 7B: 25.1 (#287), Llama-3.3-70B-Instruct: 39.9 (#220)
| Benchmark | Gemma 7B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 999 | 1236 |
| LMArena Chinese | 1035 | 1217 |
| LMArena French | 1025 | 1281 |
| LMArena Russian | 993 | 1252 |
| LMArena German | — | 1251 |
| LMArena Japanese | — | 1150 |
| LMArena Korean | — | 1143 |
| LMArena Spanish | — | 1270 |
Instruction Following Llama-3.3-70B-Instruct leads
Gemma 7B: 51.5 (#295), Llama-3.3-70B-Instruct: 71.1 (#157)
| Benchmark | Gemma 7B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1017 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context Gemma 7B leads
Gemma 7B: 31.1 (#282), Llama-3.3-70B-Instruct: 26.4 (#295)
| Benchmark | Gemma 7B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1022 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Llama-3.3-70B-Instruct leads
Gemma 7B: 27.1 (#302), Llama-3.3-70B-Instruct: 47.6 (#207)
| Benchmark | Gemma 7B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1056 | 1274 |
| LMArena Creative Writing | 1024 | 1250 |
| LMArena Multi-Turn | 963 | 1280 |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Gemma 7B better than Llama-3.3-70B-Instruct?
Gemma 7B and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (30.0 vs 30.6), so choose on price, context window or the category you care about most.
Is Gemma 7B or Llama-3.3-70B-Instruct better for coding?
They score almost the same on coding (30.5 vs 31.0); test both on your own repository before choosing.
How many benchmarks do Gemma 7B and Llama-3.3-70B-Instruct share?
15 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Llama-3.3-70B-Instruct has 43.