Model comparison
Gemini 1.5 Flash (May 2024) vs Llama 3.1-405B
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 30.7 on the Noometry Index.
Last verified . 31 shared benchmarks.
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MetaSummary
- They share 31 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 8 categories and Llama 3.1-405B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Flash (May 2024) leads 48.7 to 38.9.
- The biggest single-benchmark swing is MATH Level 5: 61.9% for Gemini 1.5 Flash (May 2024) and 49.8% for Llama 3.1-405B.
- Llama 3.1-405B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Llama 3.1-405B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 33.2 | 30.7 |
| Released | 2024-05-14 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 42 |
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Category by category
Coding Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), Llama 3.1-405B: 33.1 (#262)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| WeirdML | 24.9% | 21.4% |
| LMArena Coding | 1261 | 1291 |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.6 (#102), Llama 3.1-405B: 21.0 (#140)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), Llama 3.1-405B: 16.8 (#300)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1269 |
| DTBench | 53.8% | 61.4% |
| Epoch Capabilities Index | 129.36 | 128.75 |
| ForecastBench | 53.9 | 59.9 |
| PIQA | 87.5% | 85.9% |
| SimpleBench | — | 23% |
| Kagi LLM Benchmark | — | 45% |
| BIG-Bench Hard | — | 82.9% |
| HellaSwag | — | 89.2% |
| WinoGrande | — | 89.2% |
Math Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), Llama 3.1-405B: 18.4 (#290)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 9.7% |
| Omni-MATH | 30.4% | 24.9% |
| LMArena Math | 1269 | 1281 |
| MATH Level 5 | 61.9% | 49.8% |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Llama 3.1-405B leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), Llama 3.1-405B: 30.4 (#227)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| GPQA Diamond | 47.3% | 50.9% |
| MMLU-Pro | 67.8% | 72.3% |
| GPQA (HELM) | 43.7% | 52.2% |
| LMArena Expert | 1233 | 1243 |
| MMLU | 77.9% | 84.5% |
| Confabulations | — | 17.6% |
| ARC (AI2) Challenge | — | 95.3% |
| BoolQ | 85.8% | — |
| TriviaQA | — | 82.7% |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), Llama 3.1-405B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), Llama 3.1-405B: 40.7 (#214)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 1278 | 1248 |
| LMArena Chinese | 1295 | 1242 |
| LMArena French | 1258 | 1279 |
| LMArena German | 1262 | 1252 |
| LMArena Japanese | 1252 | 1208 |
| LMArena Korean | 1221 | 1184 |
| LMArena Russian | 1288 | 1265 |
| LMArena Spanish | 1243 | 1260 |
Instruction Following Too close to call
Gemini 1.5 Flash (May 2024): 66.8 (#205), Llama 3.1-405B: 65.9 (#214)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| IFEval | 83.1% | 81.1% |
| LMArena Instruction Following | 1258 | 1259 |
Long Context Too close to call
Gemini 1.5 Flash (May 2024): 39.0 (#187), Llama 3.1-405B: 38.4 (#197)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 1284 | 1266 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Llama 3.1-405B: 38.9 (#251)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1287 | 1284 |
| LMArena Creative Writing | 1285 | 1262 |
| WildBench | 79.2% | 78.3% |
| LMArena Multi-Turn | 1253 | 1297 |
| EQ-Bench Creative Writing | — | 870 |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Llama 3.1-405B?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 30.7 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Llama 3.1-405B better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 33.1 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Llama 3.1-405B share?
31 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Llama 3.1-405B has 42.