Model comparison
Gemini 2.0 Flash-Lite vs Llama 3.1-8B
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 23.0 on the Noometry Index.
Last verified . 23 shared benchmarks.
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MetaSummary
- They share 23 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 8 categories and Llama 3.1-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.0 Flash-Lite leads 35.0 to 8.0.
- The biggest single-benchmark swing is MMLU-Pro: 72% for Gemini 2.0 Flash-Lite and 40.6% for Llama 3.1-8B.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash-Lite | Llama 3.1-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 37.8 | 23.0 |
| Released | 2025-02-05 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 32 | 43 |
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Category by category
Coding Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 37.9 (#185), Llama 3.1-8B: 20.2 (#340)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| LMArena Coding | 1322 | 1195 |
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| LiveBench Coding | 47.1% | — |
| BigCodeBench Complete | — | 40.5% |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash-Lite: —, Llama 3.1-8B: 22.5 (#131)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |
Reasoning Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 22.0 (#210), Llama 3.1-8B: 14.9 (#321)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1175 |
| DTBench | 52.5% | 50.9% |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 50.1% | — |
| LiveBench Data Analysis | 65.5% | — |
| LMCA | — | 5.4% |
| Epoch Capabilities Index | — | 116.57 |
| ForecastBench | 57.1 | — |
| LiveBench | 54.3% | — |
| PIQA | — | 81.2% |
Math Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 34.1 (#196), Llama 3.1-8B: 10.2 (#317)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| Omni-MATH | 37.4% | 13.7% |
| LMArena Math | 1309 | 1179 |
| OTIS Mock AIME 2024-2025 | — | 1.7% |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | — | 22.9% |
| GSM8K | — | 82.4% |
Knowledge Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 35.0 (#189), Llama 3.1-8B: 8.0 (#307)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| MMLU-Pro | 72% | 40.6% |
| GPQA (HELM) | 50% | 24.7% |
| LMArena Expert | 1305 | 1144 |
| GPQA Diamond | — | 27% |
| BoolQ | — | 82.8% |
| MMLU | — | 56.1% |
Multimodal Not comparable
Gemini 2.0 Flash-Lite: 31.2 (#109), Llama 3.1-8B: —
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| LMArena Vision | 1100 | — |
Multilingual Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 46.0 (#161), Llama 3.1-8B: 34.0 (#249)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1323 | 1148 |
| LMArena Chinese | 1339 | 1151 |
| LMArena French | 1347 | 1177 |
| LMArena German | 1306 | 1144 |
| LMArena Japanese | 1301 | 1061 |
| LMArena Korean | 1325 | 1053 |
| LMArena Russian | 1328 | 1158 |
| LMArena Spanish | 1313 | 1169 |
Instruction Following Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 70.4 (#163), Llama 3.1-8B: 58.9 (#258)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| IFEval | 82.4% | 74.3% |
| LMArena Instruction Following | 1305 | 1159 |
| LiveBench Instruction Following | 78.3% | — |
Long Context Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 40.1 (#160), Llama 3.1-8B: 35.8 (#238)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1320 | 1182 |
Writing & Preference Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 51.7 (#177), Llama 3.1-8B: 29.7 (#290)
| Benchmark | Gemini 2.0 Flash-Lite | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1330 | 1187 |
| LMArena Creative Writing | 1319 | 1154 |
| WildBench | 79% | 68.7% |
| LMArena Multi-Turn | 1307 | 1172 |
| EQ-Bench Creative Writing | — | 713 |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than Llama 3.1-8B?
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 23.0 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or Llama 3.1-8B better for coding?
Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 20.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and Llama 3.1-8B share?
23 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Llama 3.1-8B has 43.