Model comparison
Gemini 1.5 Pro (May 2024) vs Llama 3.2 3B
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 31.9 to 28.4 on the Noometry Index.
Last verified . 16 shared benchmarks.
Google
MetaSummary
- They share 16 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 6 categories and Llama 3.2 3B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Pro (May 2024) leads 52.5 to 24.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 57.5% for Gemini 1.5 Pro (May 2024) and 28.3% for Llama 3.2 3B.
- Llama 3.2 3B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Llama 3.2 3B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 31.9 | 28.4 |
| Released | 2024-02-15 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 118K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.33 |
| Results tracked | 45 | 18 |
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Category by category
Coding Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 33.8 (#239), Llama 3.2 3B: 27.1 (#314)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| BigCodeBench Instruct | 43.8% | 23.4% |
| LMArena Coding | 1294 | 1098 |
| BigCodeBench Complete | 57.5% | 28.3% |
| WeirdML | 22.2% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Llama 3.2 3B leads
Gemini 1.5 Pro (May 2024): 17.8 (#137), Llama 3.2 3B: 19.9 (#135)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| BALROG | 21% | 10.1% |
| Berkeley Function Calling Leaderboard | — | 21.9% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
Reasoning Llama 3.2 3B leads
Gemini 1.5 Pro (May 2024): 12.3 (#332), Llama 3.2 3B: 20.1 (#225)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1095 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | 58.4 | — |
Math Llama 3.2 3B leads
Gemini 1.5 Pro (May 2024): 24.4 (#260), Llama 3.2 3B: 29.9 (#213)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1315 | 1126 |
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
Knowledge Too close to call
Gemini 1.5 Pro (May 2024): 29.3 (#228), Llama 3.2 3B: 29.1 (#232)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1279 | 1090 |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.2 (#72), Llama 3.2 3B: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 45.5 (#169), Llama 3.2 3B: 26.4 (#276)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1312 | 1019 |
| LMArena Chinese | 1331 | 1017 |
| LMArena German | 1286 | 1056 |
| LMArena Russian | 1320 | 949 |
| LMArena French | 1301 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1310 | — |
Instruction Following Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 68.8 (#180), Llama 3.2 3B: 56.3 (#270)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1297 | 1089 |
| IFEval | 83.7% | — |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.7 (#164), Llama 3.2 3B: 33.4 (#256)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1308 | 1101 |
Writing & Preference Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 52.5 (#167), Llama 3.2 3B: 24.9 (#302)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1319 | 1110 |
| LMArena Creative Writing | 1333 | 1094 |
| LMArena Multi-Turn | 1296 | 1105 |
| EQ-Bench Creative Writing | — | 595 |
| WildBench | 81.3% | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Llama 3.2 3B?
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 31.9 to 28.4 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Llama 3.2 3B better for coding?
Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 33.8 versus 27.1 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Llama 3.2 3B share?
16 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Llama 3.2 3B has 18.