# Gemini 1.5 Pro (May 2024) vs Llama 3.2 1B

> Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 20.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-pro-vs-llama-3-2-1b
- Last updated: 2026-10-12
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 8 categories and Llama 3.2 1B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Pro (May 2024) leads 52.4 to 21.3.
- The biggest single-benchmark swing is BigCodeBench Complete: 57.5% for Gemini 1.5 Pro (May 2024) and 11.3% for Llama 3.2 1B.
- Llama 3.2 1B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 32.1 | 20.1 |
| Rank | 261 | 354 |
| Context | — | 60K |
| Input $/M | — | $0.027 |
| Output $/M | — | $0.20 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Pro (May 2024): 34.2 (#241)
- Llama 3.2 1B: 21.1 (#338)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| BigCodeBench Instruct | 43.8% | 8.2% |
| LMArena Coding | 1294 | 1070 |
| BigCodeBench Complete | 57.5% | 11.3% |
| WeirdML | 22.2% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |

## Agentic & Tool Use

- Gemini 1.5 Pro (May 2024): 17.9 (#145)
- Llama 3.2 1B: 14.6 (#150)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| BALROG | 21% | 6.6% |
| Berkeley Function Calling Leaderboard | — | 10.8% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |

## Reasoning

- Gemini 1.5 Pro (May 2024): 12.3 (#338)
- Llama 3.2 1B: 16.2 (#308)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1044 |
| Epoch Capabilities Index | 131.73 | 101.99 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| Chess Puzzles | — | 0% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |

## Math

- Gemini 1.5 Pro (May 2024): 25.8 (#266)
- Llama 3.2 1B: 10.4 (#313)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 0.6% |
| LMArena Math | 1315 | 1086 |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |

## Knowledge

- Gemini 1.5 Pro (May 2024): 29.4 (#239)
- Llama 3.2 1B: 7.2 (#312)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 57.2% | 23.9% |
| LMArena Expert | 1279 | 1007 |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |

## Multimodal

- Gemini 1.5 Pro (May 2024): 36.8 (#77)
- Llama 3.2 1B: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |

## Multilingual

- Gemini 1.5 Pro (May 2024): 45.3 (#174)
- Llama 3.2 1B: 23.8 (#292)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1312 | 973 |
| LMArena Chinese | 1331 | 959 |
| LMArena German | 1286 | 1014 |
| LMArena Russian | 1320 | 941 |
| LMArena French | 1302 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1311 | — |

## Instruction Following

- Gemini 1.5 Pro (May 2024): 68.6 (#185)
- Llama 3.2 1B: 52.4 (#290)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1297 | 1031 |
| IFEval | 83.7% | — |

## Long Context

- Gemini 1.5 Pro (May 2024): 39.8 (#169)
- Llama 3.2 1B: 31.9 (#274)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1308 | 1050 |

## Writing & Preference

- Gemini 1.5 Pro (May 2024): 52.4 (#172)
- Llama 3.2 1B: 21.3 (#310)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1319 | 1055 |
| LMArena Creative Writing | 1333 | 1033 |
| LMArena Multi-Turn | 1296 | 1030 |
| EQ-Bench Creative Writing | — | 200 |
| WildBench | 81.3% | — |

## FAQ

### Is Gemini 1.5 Pro (May 2024) better than Llama 3.2 1B?

Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 20.1 on the Noometry Index.

### Is Gemini 1.5 Pro (May 2024) or Llama 3.2 1B better for coding?

Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 34.2 versus 21.1 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Pro (May 2024) and Llama 3.2 1B share?

19 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Llama 3.2 1B has 22.