Model comparison
Gemini 1.5 Flash (May 2024) vs Llama 3-8B
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 25.5 on the Noometry Index.
Last verified . 28 shared benchmarks.
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MetaSummary
- They share 28 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 1.5 Flash (May 2024) leads 26.2 to 7.8.
- The biggest single-benchmark swing is MATH Level 5: 61.9% for Gemini 1.5 Flash (May 2024) and 6.1% for Llama 3-8B.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Llama 3-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 33.2 | 25.5 |
| Released | 2024-05-14 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 34 |
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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 3-8B: 31.0 (#289)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| BigCodeBench Instruct | 43.5% | 31.9% |
| LMArena Coding | 1261 | 1152 |
| BigCodeBench Complete | 55.1% | 36.9% |
| HumanEval+ | 75.6% | 56.7% |
| MBPP+ | 67.5% | 54.8% |
| WeirdML | 24.9% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash (May 2024): 26.6 (#102), Llama 3-8B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), Llama 3-8B: 14.3 (#326)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1133 |
| DTBench | 53.8% | 43.9% |
| Epoch Capabilities Index | 129.36 | 116.45 |
| ForecastBench | 53.9 | 58.6 |
| Chess Puzzles | — | 0% |
| Adversarial NLI | — | 57.3% |
| PIQA | 87.5% | — |
| WinoGrande | — | 75.7% |
Math Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), Llama 3-8B: 8.8 (#323)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 1.9% |
| LMArena Math | 1269 | 1151 |
| MATH Level 5 | 61.9% | 6.1% |
| Omni-MATH | 30.4% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), Llama 3-8B: 7.8 (#308)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 47.3% | 26.1% |
| LMArena Expert | 1233 | 1113 |
| MMLU | 77.9% | 68.8% |
| MMLU-Pro | 67.8% | — |
| GPQA (HELM) | 43.7% | — |
| ARC (AI2) Challenge | — | 82.8% |
| BoolQ | 85.8% | — |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), Llama 3-8B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| 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 3-8B: 30.8 (#261)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1278 | 1098 |
| LMArena Chinese | 1295 | 1076 |
| LMArena French | 1258 | 1159 |
| LMArena German | 1262 | 1104 |
| LMArena Japanese | 1252 | 967 |
| LMArena Korean | 1221 | 1004 |
| LMArena Russian | 1288 | 1109 |
| LMArena Spanish | 1243 | 1173 |
Instruction Following Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), Llama 3-8B: 58.4 (#260)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1127 |
| IFEval | 83.1% | — |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), Llama 3-8B: 34.2 (#251)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1284 | 1128 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Llama 3-8B: 37.5 (#256)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Text | 1287 | 1166 |
| LMArena Creative Writing | 1285 | 1150 |
| LMArena Multi-Turn | 1253 | 1152 |
| WildBench | 79.2% | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Llama 3-8B?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 25.5 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Llama 3-8B better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 31.0 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Llama 3-8B share?
28 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Llama 3-8B has 34.