Model comparison
Gemini 1.5 Pro (May 2024) vs Llama 3-8B
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 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 Pro (May 2024) scores higher in 7 categories and Llama 3-8B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 1.5 Pro (May 2024) leads 29.4 to 7.8.
- The biggest single-benchmark swing is MATH Level 5: 70.4% for Gemini 1.5 Pro (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 Pro (May 2024) | Llama 3-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 32.1 | 25.5 |
| Released | 2024-02-15 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 45 | 34 |
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Category by category
Coding Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), Llama 3-8B: 31.0 (#289)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| BigCodeBench Instruct | 43.8% | 31.9% |
| LMArena Coding | 1294 | 1152 |
| BigCodeBench Complete | 57.5% | 36.9% |
| HumanEval+ | 79.3% | 56.7% |
| MBPP+ | 74.6% | 54.8% |
| WeirdML | 22.2% | — |
| CadEval | 34% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Pro (May 2024): 17.9 (#145), Llama 3-8B: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Llama 3-8B leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Llama 3-8B: 14.3 (#326)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1133 |
| DTBench | 59% | 43.9% |
| Epoch Capabilities Index | 131.73 | 116.45 |
| ForecastBench | 58.4 | 58.6 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| Chess Puzzles | — | 0% |
| Adversarial NLI | — | 57.3% |
| BIG-Bench Hard | 89.2% | — |
| WinoGrande | — | 75.7% |
Math Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), Llama 3-8B: 8.8 (#323)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 1.9% |
| LMArena Math | 1315 | 1151 |
| MATH Level 5 | 70.4% | 6.1% |
| Omni-MATH | 36.4% | — |
Knowledge Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Llama 3-8B: 7.8 (#308)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 57.2% | 26.1% |
| LMArena Expert | 1279 | 1113 |
| MMLU | 86.9% | 68.8% |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| ARC (AI2) Challenge | — | 82.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.8 (#77), Llama 3-8B: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), Llama 3-8B: 30.8 (#261)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1312 | 1098 |
| LMArena Chinese | 1331 | 1076 |
| LMArena French | 1302 | 1159 |
| LMArena German | 1286 | 1104 |
| LMArena Japanese | 1292 | 967 |
| LMArena Korean | 1298 | 1004 |
| LMArena Russian | 1320 | 1109 |
| LMArena Spanish | 1311 | 1173 |
Instruction Following Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), Llama 3-8B: 58.4 (#260)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1297 | 1127 |
| IFEval | 83.7% | — |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), Llama 3-8B: 34.2 (#251)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1308 | 1128 |
Writing & Preference Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), Llama 3-8B: 37.5 (#256)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3-8B |
|---|---|---|
| LMArena Text | 1319 | 1166 |
| LMArena Creative Writing | 1333 | 1150 |
| LMArena Multi-Turn | 1296 | 1152 |
| WildBench | 81.3% | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Llama 3-8B?
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 25.5 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Llama 3-8B better for coding?
Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 34.2 versus 31.0 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Llama 3-8B share?
28 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Llama 3-8B has 34.