Model comparison
Gemini 1.5 Flash (May 2024) vs Llama 2-7B
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 32.9 to 28.6 on the Noometry Index.
Last verified . 20 shared benchmarks.
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MetaSummary
- They share 20 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 6 categories and Llama 2-7B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Flash (May 2024) leads 48.9 to 28.1.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Llama 2-7B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 32.9 | 28.6 |
| Released | 2024-05-14 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 29 |
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Category by category
Coding Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 33.9 (#233), Llama 2-7B: 28.7 (#302)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1262 | 1002 |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash (May 2024): 26.3 (#97), Llama 2-7B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 20.8 (#212), Llama 2-7B: 15.1 (#309)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1009 |
| Epoch Capabilities Index | 129.37 | 98.54 |
| PIQA | 87.5% | 78.8% |
| Chess Puzzles | — | 0% |
| DTBench | 53.8% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 53.9 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| WinoGrande | — | 69.2% |
Math Llama 2-7B leads
Gemini 1.5 Flash (May 2024): 20.8 (#274), Llama 2-7B: 28.2 (#231)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| LMArena Math | 1269 | 1042 |
| GSM8K | 82.4% | 16.7% |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Llama 2-7B leads
Gemini 1.5 Flash (May 2024): 26.2 (#253), Llama 2-7B: 27.7 (#243)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1233 | 1036 |
| BoolQ | 85.8% | 77.9% |
| MMLU | 77.9% | 45.8% |
| GPQA Diamond | 47.3% | — |
| MMLU-Pro | 67.8% | — |
| GPQA (HELM) | 43.7% | — |
| ARC (AI2) Challenge | — | 45.9% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 35.3 (#76), Llama 2-7B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
| ScienceQA | — | 43.1% |
Multilingual Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 43.1 (#184), Llama 2-7B: 23.9 (#288)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1278 | 973 |
| LMArena Chinese | 1295 | 973 |
| LMArena French | 1257 | 969 |
| LMArena German | 1262 | 978 |
| LMArena Russian | 1288 | 995 |
| LMArena Spanish | 1242 | 1007 |
| LMArena Japanese | 1252 | — |
| LMArena Korean | 1220 | — |
Instruction Following Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 67.0 (#199), Llama 2-7B: 51.0 (#293)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1006 |
| IFEval | 83.1% | — |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#182), Llama 2-7B: 30.4 (#282)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1284 | 999 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.9 (#190), Llama 2-7B: 28.1 (#293)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 2-7B |
|---|---|---|
| LMArena Text | 1287 | 1053 |
| LMArena Creative Writing | 1285 | 1033 |
| LMArena Multi-Turn | 1253 | 1029 |
| WildBench | 79.2% | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Llama 2-7B?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 32.9 to 28.6 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Llama 2-7B better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 33.9 versus 28.7 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Llama 2-7B share?
20 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Llama 2-7B has 29.