Model comparison
Gemini 2.0 Flash-Lite vs Llama 3.1-405B
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 30.7 on the Noometry Index.
Last verified . 24 shared benchmarks.
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MetaSummary
- They share 24 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 8 categories and Llama 3.1-405B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash-Lite leads 34.1 to 18.4.
- The biggest single-benchmark swing is Omni-MATH: 37.4% for Gemini 2.0 Flash-Lite and 24.9% for Llama 3.1-405B.
- Llama 3.1-405B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash-Lite | Llama 3.1-405B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 37.8 | 30.7 |
| Released | 2025-02-05 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 42 |
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Category by category
Coding Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 37.9 (#185), Llama 3.1-405B: 33.1 (#262)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Coding | 1322 | 1291 |
| WeirdML | — | 21.4% |
| LiveBench Coding | 47.1% | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash-Lite: —, Llama 3.1-405B: 21.0 (#140)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
Reasoning Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 22.0 (#210), Llama 3.1-405B: 16.8 (#300)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1269 |
| DTBench | 52.5% | 61.4% |
| ForecastBench | 57.1 | 59.9 |
| SimpleBench | — | 23% |
| Kagi LLM Benchmark | — | 45% |
| LiveBench Reasoning | 50.1% | — |
| LiveBench Data Analysis | 65.5% | — |
| BIG-Bench Hard | — | 82.9% |
| Epoch Capabilities Index | — | 128.75 |
| HellaSwag | — | 89.2% |
| LiveBench | 54.3% | — |
| PIQA | — | 85.9% |
| WinoGrande | — | 89.2% |
Math Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 34.1 (#196), Llama 3.1-405B: 18.4 (#290)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| Omni-MATH | 37.4% | 24.9% |
| LMArena Math | 1309 | 1281 |
| OTIS Mock AIME 2024-2025 | — | 9.7% |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | — | 49.8% |
Knowledge Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 35.0 (#189), Llama 3.1-405B: 30.4 (#227)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| MMLU-Pro | 72% | 72.3% |
| GPQA (HELM) | 50% | 52.2% |
| LMArena Expert | 1305 | 1243 |
| GPQA Diamond | — | 50.9% |
| Confabulations | — | 17.6% |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 84.5% |
| TriviaQA | — | 82.7% |
Multimodal Not comparable
Gemini 2.0 Flash-Lite: 31.2 (#109), Llama 3.1-405B: —
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Vision | 1100 | — |
Multilingual Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 46.0 (#161), Llama 3.1-405B: 40.7 (#214)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 1323 | 1248 |
| LMArena Chinese | 1339 | 1242 |
| LMArena French | 1347 | 1279 |
| LMArena German | 1306 | 1252 |
| LMArena Japanese | 1301 | 1208 |
| LMArena Korean | 1325 | 1184 |
| LMArena Russian | 1328 | 1265 |
| LMArena Spanish | 1313 | 1260 |
Instruction Following Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 70.4 (#163), Llama 3.1-405B: 65.9 (#214)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| IFEval | 82.4% | 81.1% |
| LMArena Instruction Following | 1305 | 1259 |
| LiveBench Instruction Following | 78.3% | — |
Long Context Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 40.1 (#160), Llama 3.1-405B: 38.4 (#197)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 1320 | 1266 |
Writing & Preference Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 51.7 (#177), Llama 3.1-405B: 38.9 (#251)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1330 | 1284 |
| LMArena Creative Writing | 1319 | 1262 |
| WildBench | 79% | 78.3% |
| LMArena Multi-Turn | 1307 | 1297 |
| EQ-Bench Creative Writing | — | 870 |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than Llama 3.1-405B?
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 30.7 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or Llama 3.1-405B better for coding?
Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 33.1 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and Llama 3.1-405B share?
24 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Llama 3.1-405B has 42.