Model comparison
Gemini 2.5 Flash-Lite vs Llama 3.1-405B
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 30.7 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Llama 3.1-405B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 18.4.
- The biggest single-benchmark swing is Omni-MATH: 48% for Gemini 2.5 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 2.5 Flash-Lite | Llama 3.1-405B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 37.0 | 30.7 |
| Released | 2025-06-17 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 33 | 42 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Llama 3.1-405B: 33.1 (#262)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| WeirdML | 35.2% | 21.4% |
| LMArena Coding | 1373 | 1291 |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Llama 3.1-405B: 21.0 (#140)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Llama 3.1-405B: 16.8 (#300)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 45% |
| LMArena Hard Prompts | 1377 | 1269 |
| DTBench | 62.8% | 61.4% |
| Epoch Capabilities Index | 133.94 | 128.75 |
| SimpleBench | — | 23% |
| LMCA | 18.1% | — |
| BIG-Bench Hard | — | 82.9% |
| ForecastBench | — | 59.9 |
| HellaSwag | — | 89.2% |
| PIQA | — | 85.9% |
| WinoGrande | — | 89.2% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Llama 3.1-405B: 18.4 (#290)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| Omni-MATH | 48% | 24.9% |
| LMArena Math | 1373 | 1281 |
| OTIS Mock AIME 2024-2025 | — | 9.7% |
| MATH Level 5 | — | 49.8% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Llama 3.1-405B: 30.4 (#227)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| MMLU-Pro | 53.7% | 72.3% |
| GPQA (HELM) | 30.9% | 52.2% |
| LMArena Expert | 1373 | 1243 |
| GPQA Diamond | — | 50.9% |
| Confabulations | — | 17.6% |
| Vectara Hallucination Rate | 3.3% | — |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 84.5% |
| TriviaQA | — | 82.7% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Llama 3.1-405B: —
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Llama 3.1-405B: 40.7 (#214)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 1369 | 1248 |
| LMArena Chinese | 1404 | 1242 |
| LMArena French | 1388 | 1279 |
| LMArena German | 1389 | 1252 |
| LMArena Japanese | 1359 | 1208 |
| LMArena Korean | 1360 | 1184 |
| LMArena Russian | 1373 | 1265 |
| LMArena Spanish | 1396 | 1260 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Llama 3.1-405B: 65.9 (#214)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| IFEval | 81% | 81.1% |
| LMArena Instruction Following | 1367 | 1259 |
Long Context Llama 3.1-405B leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Llama 3.1-405B: 38.4 (#197)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 1373 | 1266 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Llama 3.1-405B: 38.9 (#251)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1379 | 1284 |
| LMArena Creative Writing | 1367 | 1262 |
| WildBench | 81.8% | 78.3% |
| LMArena Multi-Turn | 1366 | 1297 |
| EQ-Bench Creative Writing | — | 870 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Llama 3.1-405B?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 30.7 on the Noometry Index.
Is Gemini 2.5 Flash-Lite or Llama 3.1-405B better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 33.1 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash-Lite and Llama 3.1-405B share?
26 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Llama 3.1-405B has 42.