Model comparison
Gemini 1.5 Flash (May 2024) vs Llama 3.1-8B
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 23.0 on the Noometry Index.
Last verified . 37 shared benchmarks.
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MetaSummary
- They share 37 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 9 categories and Llama 3.1-8B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Flash (May 2024) leads 48.7 to 29.7.
- The biggest single-benchmark swing is MATH Level 5: 61.9% for Gemini 1.5 Flash (May 2024) and 22.9% for Llama 3.1-8B.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Llama 3.1-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 33.2 | 23.0 |
| Released | 2024-05-14 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 42 | 43 |
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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 3.1-8B: 20.2 (#340)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| WeirdML | 24.9% | 1.7% |
| BigCodeBench Instruct | 43.5% | 32.8% |
| LMArena Coding | 1261 | 1195 |
| BigCodeBench Complete | 55.1% | 40.5% |
| HumanEval+ | 75.6% | 62.8% |
| MBPP+ | 67.5% | 55.6% |
| SciCode | — | 13.2% |
Agentic & Tool Use Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.6 (#102), Llama 3.1-8B: 22.5 (#131)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| BALROG | 14.6% | 15.1% |
| Berkeley Function Calling Leaderboard | — | 25.8% |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), Llama 3.1-8B: 14.9 (#321)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1175 |
| DTBench | 53.8% | 50.9% |
| Epoch Capabilities Index | 129.36 | 116.57 |
| PIQA | 87.5% | 81.2% |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| LMCA | — | 5.4% |
| ForecastBench | 53.9 | — |
Math Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), Llama 3.1-8B: 10.2 (#317)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 1.7% |
| Omni-MATH | 30.4% | 13.7% |
| LMArena Math | 1269 | 1179 |
| MATH Level 5 | 61.9% | 22.9% |
| GSM8K | 82.4% | 82.4% |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), Llama 3.1-8B: 8.0 (#307)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| GPQA Diamond | 47.3% | 27% |
| MMLU-Pro | 67.8% | 40.6% |
| GPQA (HELM) | 43.7% | 24.7% |
| LMArena Expert | 1233 | 1144 |
| BoolQ | 85.8% | 82.8% |
| MMLU | 77.9% | 56.1% |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), Llama 3.1-8B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| 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 3.1-8B: 34.0 (#249)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1278 | 1148 |
| LMArena Chinese | 1295 | 1151 |
| LMArena French | 1258 | 1177 |
| LMArena German | 1262 | 1144 |
| LMArena Japanese | 1252 | 1061 |
| LMArena Korean | 1221 | 1053 |
| LMArena Russian | 1288 | 1158 |
| LMArena Spanish | 1243 | 1169 |
Instruction Following Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), Llama 3.1-8B: 58.9 (#258)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| IFEval | 83.1% | 74.3% |
| LMArena Instruction Following | 1258 | 1159 |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), Llama 3.1-8B: 35.8 (#238)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1284 | 1182 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Llama 3.1-8B: 29.7 (#290)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1287 | 1187 |
| LMArena Creative Writing | 1285 | 1154 |
| WildBench | 79.2% | 68.7% |
| LMArena Multi-Turn | 1253 | 1172 |
| EQ-Bench Creative Writing | — | 713 |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Llama 3.1-8B?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 23.0 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Llama 3.1-8B better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 20.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Llama 3.1-8B share?
37 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Llama 3.1-8B has 43.