Model comparison
Gemini 3 Pro vs Llama 2-7B
Gemini 3 Pro is the stronger model overall, scoring 54.8 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Google
MetaSummary
- They share 17 benchmarks with published results for both. Gemini 3 Pro scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 3 Pro leads 66.4 to 28.0.
- The biggest single-benchmark swing is Chess Puzzles: 31% for Gemini 3 Pro and 0% for Llama 2-7B.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3 Pro | Llama 2-7B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 54.8 | 29.1 |
| Released | 2025-11-18 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 67 | 29 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 3 Pro leads
Gemini 3 Pro: 51.6 (#39), Llama 2-7B: 29.2 (#307)
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1481 | 1002 |
| SWE-bench Verified | 72.9% | — |
| SWE-bench Verified (bash only) | 74.2% | — |
| LMArena WebDev | 1440 | — |
| SWE-bench Multilingual | 68.7% | — |
| GSO | 18.6% | — |
| WeirdML | 69.9% | — |
| ALE-Bench | 1,177 | — |
| AlgoTune | 1.83 | — |
Agentic & Tool Use Not comparable
Gemini 3 Pro: 40.6 (#23), Llama 2-7B: —
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| Terminal-Bench | 69.4% | — |
| Berkeley Function Calling Leaderboard | 72.5% | — |
| GDPval | 40.3% | — |
| Remote Labor Index | 1.3% | — |
| τ²-bench Airline | 80.5% | — |
| τ²-bench Banking | 18% | — |
| τ²-bench Retail | 75.9% | — |
| τ²-bench Telecom | 91% | — |
| DeepResearch Bench | 46.3% | — |
| BALROG | 58.1% | — |
| LMArena Search | 1207 | — |
| METR Time Horizons | 71% | — |
| Vending-Bench 2 | 5,478 | — |
Reasoning Gemini 3 Pro leads
Gemini 3 Pro: 52.5 (#31), Llama 2-7B: 15.7 (#312)
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 31% | 0% |
| LMArena Hard Prompts | 1480 | 1009 |
| Epoch Capabilities Index | 152.92 | 99.06 |
| ARC-AGI-2 | 31.1% | — |
| SimpleBench | 76.4% | — |
| Kagi LLM Benchmark | 80.1% | — |
| NYT Connections (extended) | 94.4% | — |
| ARC-AGI-1 | 75% | — |
| CritPt | 6.9% | — |
| EnigmaEval | 18.2% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 61.2 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Gemini 3 Pro leads
Gemini 3 Pro: 49.9 (#59), Llama 2-7B: 30.7 (#233)
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| LMArena Math | 1476 | 1042 |
| MathArena Final-Answer Competitions | 67% | — |
| OTIS Mock AIME 2024-2025 | 91.4% | — |
| ProofBench | 20% | — |
| Omni-MATH | 55.5% | — |
| FrontierMath (Feb 2025 set) | 37.6% | — |
| FrontierMath Tier 4 (v1) | 18.8% | — |
| GSM8K | — | 16.7% |
Knowledge Gemini 3 Pro leads
Gemini 3 Pro: 64.4 (#16), Llama 2-7B: 28.2 (#248)
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1475 | 1036 |
| GPQA Diamond | 92.6% | — |
| Humanity's Last Exam | 37.5% | — |
| MMLU-Pro | 90.3% | — |
| Vectara Hallucination Rate | 13.6% | — |
| GPQA (HELM) | 80.3% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Gemini 3 Pro: 57.6 (#2), Llama 2-7B: —
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1305 | — |
| GeoBench | 84% | — |
| VPCT | 91% | — |
| LMArena Document | 1434 | — |
| ScienceQA | — | 43.1% |
Multilingual Gemini 3 Pro leads
Gemini 3 Pro: 56.9 (#16), Llama 2-7B: 23.8 (#293)
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1474 | 973 |
| LMArena Chinese | 1523 | 973 |
| LMArena French | 1492 | 970 |
| LMArena German | 1515 | 978 |
| LMArena Russian | 1493 | 995 |
| LMArena Spanish | 1470 | 1007 |
| LMArena Japanese | 1510 | — |
| LMArena Korean | 1448 | — |
Instruction Following Gemini 3 Pro leads
Gemini 3 Pro: 76.3 (#45), Llama 2-7B: 50.8 (#298)
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1458 | 1006 |
| IFEval | 87.7% | — |
Long Context Gemini 3 Pro leads
Gemini 3 Pro: 44.0 (#79), Llama 2-7B: 30.4 (#287)
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1471 | 999 |
| CL-bench | 15.8% | — |
Writing & Preference Gemini 3 Pro leads
Gemini 3 Pro: 66.4 (#35), Llama 2-7B: 28.0 (#298)
| Benchmark | Gemini 3 Pro | Llama 2-7B |
|---|---|---|
| LMArena Text | 1479 | 1053 |
| LMArena Creative Writing | 1482 | 1033 |
| LMArena Multi-Turn | 1484 | 1029 |
| EQ-Bench Creative Writing | 1525 | — |
| WildBench | 85.9% | — |
Frequently asked questions
Is Gemini 3 Pro better than Llama 2-7B?
Gemini 3 Pro is the stronger model overall, scoring 54.8 to 29.1 on the Noometry Index.
Is Gemini 3 Pro or Llama 2-7B better for coding?
Gemini 3 Pro scores higher on coding benchmarks: 51.6 versus 29.2 in the Noometry coding category.
How many benchmarks do Gemini 3 Pro and Llama 2-7B share?
17 benchmarks have published results for both models. Gemini 3 Pro has 67 scored results on Noometry and Llama 2-7B has 29.