Model comparison
Gemini 2.0 Flash (Feb 2025) vs Llama 2-7B
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Google
MetaSummary
- They share 17 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 6 categories and Llama 2-7B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemini 2.0 Flash (Feb 2025) leads 47.4 to 23.8.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Llama 2-7B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 35.1 | 29.1 |
| Released | 2024-12-06 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 54 | 29 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), Llama 2-7B: 29.2 (#307)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1350 | 1002 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), Llama 2-7B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning Too close to call
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), Llama 2-7B: 15.7 (#312)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1009 |
| Epoch Capabilities Index | 135.36 | 99.06 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| LiveBench | 66.9% | — |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), Llama 2-7B: 30.7 (#233)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| LMArena Math | 1352 | 1042 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
| GSM8K | — | 16.7% |
Knowledge Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), Llama 2-7B: 28.2 (#248)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1339 | 1036 |
| MMLU | 79.7% | 45.8% |
| GPQA Diamond | 64.1% | — |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), Llama 2-7B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
| ScienceQA | — | 43.1% |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), Llama 2-7B: 23.8 (#293)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1342 | 973 |
| LMArena Chinese | 1373 | 973 |
| LMArena French | 1391 | 970 |
| LMArena German | 1353 | 978 |
| LMArena Russian | 1351 | 995 |
| LMArena Spanish | 1363 | 1007 |
| LMArena Japanese | 1294 | — |
| LMArena Korean | 1313 | — |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), Llama 2-7B: 50.8 (#298)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1336 | 1006 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), Llama 2-7B: 30.4 (#287)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1344 | 999 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), Llama 2-7B: 28.0 (#298)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 2-7B |
|---|---|---|
| LMArena Text | 1354 | 1053 |
| LMArena Creative Writing | 1340 | 1033 |
| LMArena Multi-Turn | 1350 | 1029 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Llama 2-7B?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 29.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Llama 2-7B better for coding?
They score almost the same on coding (28.4 vs 29.2); test both on your own repository before choosing.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Llama 2-7B share?
17 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Llama 2-7B has 29.