Model comparison
Gemini 2.5 Flash-Lite vs Llama 3-70B
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.8 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Llama 3-70B 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 12.8.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 54.2% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Llama 3-70B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 37.0 | 28.8 |
| Released | 2025-06-17 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 33 | 31 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Llama 3-70B: 35.8 (#218)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1373 | 1206 |
| WeirdML | 35.2% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 325.9 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Llama 3-70B: 21.1 (#139)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| Cybench | — | 5% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Llama 3-70B: 18.0 (#288)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 35.1% |
| LMArena Hard Prompts | 1377 | 1195 |
| DTBench | 62.8% | 54.2% |
| Epoch Capabilities Index | 133.94 | 122.93 |
| LMCA | 18.1% | — |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Llama 3-70B: 12.8 (#305)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| LMArena Math | 1373 | 1218 |
| OTIS Mock AIME 2024-2025 | — | 4.3% |
| Omni-MATH | 48% | — |
| MATH Level 5 | — | 22.6% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Llama 3-70B: 20.8 (#277)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| LMArena Expert | 1373 | 1149 |
| GPQA Diamond | — | 40.6% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Llama 3-70B: —
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Llama 3-70B: 33.6 (#251)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1369 | 1142 |
| LMArena Chinese | 1404 | 1114 |
| LMArena French | 1388 | 1232 |
| LMArena German | 1389 | 1169 |
| LMArena Japanese | 1359 | 1017 |
| LMArena Korean | 1360 | 1017 |
| LMArena Russian | 1373 | 1159 |
| LMArena Spanish | 1396 | 1241 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Llama 3-70B: 62.5 (#238)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1367 | 1194 |
| IFEval | 81% | — |
Long Context Llama 3-70B leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Llama 3-70B: 35.6 (#240)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1373 | 1174 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Llama 3-70B: 42.8 (#231)
| Benchmark | Gemini 2.5 Flash-Lite | Llama 3-70B |
|---|---|---|
| LMArena Text | 1379 | 1221 |
| LMArena Creative Writing | 1367 | 1210 |
| LMArena Multi-Turn | 1366 | 1223 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Llama 3-70B?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.8 on the Noometry Index.
Is Gemini 2.5 Flash-Lite or Llama 3-70B better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 35.8 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash-Lite and Llama 3-70B share?
20 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Llama 3-70B has 31.