# Gemini 1.5 Pro (May 2024) vs Llama 13b

> Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-pro-vs-llama-13b
- Last updated: 2026-10-12
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 4 categories and Llama 13b in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Pro (May 2024) leads 52.4 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 32.1 | 24.4 |
| Rank | 261 | 348 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Pro (May 2024): 34.2 (#241)
- Llama 13b: 21.4 (#337)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| LMArena Coding | 1294 | 683 |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |

## Agentic & Tool Use

- Gemini 1.5 Pro (May 2024): 17.9 (#145)
- Llama 13b: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |

## Reasoning

- Gemini 1.5 Pro (May 2024): 12.3 (#338)
- Llama 13b: 14.0 (#329)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1296 | 728 |
| BIG-Bench Hard | 89.2% | 37.9% |
| Epoch Capabilities Index | 131.73 | 100.58 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| DTBench | 59% | — |
| ForecastBench | 58.4 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- Gemini 1.5 Pro (May 2024): 25.8 (#266)
- Llama 13b: 26.7 (#256)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| LMArena Math | 1315 | 838 |
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
| GSM8K | — | 20.6% |

## Knowledge

- Gemini 1.5 Pro (May 2024): 29.4 (#239)
- Llama 13b: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| MMLU | 86.9% | 47.7% |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| LMArena Expert | 1279 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- Gemini 1.5 Pro (May 2024): 36.8 (#77)
- Llama 13b: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
| ScienceQA | — | 43.3% |

## Multilingual

- Gemini 1.5 Pro (May 2024): 45.3 (#174)
- Llama 13b: 16.6 (#297)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| LMArena Non-English | 1312 | 819 |
| LMArena Chinese | 1331 | — |
| LMArena French | 1302 | — |
| LMArena German | 1286 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1320 | — |
| LMArena Spanish | 1311 | — |

## Instruction Following

- Gemini 1.5 Pro (May 2024): 68.6 (#185)
- Llama 13b: 36.7 (#305)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1297 | 781 |
| IFEval | 83.7% | — |

## Long Context

- Gemini 1.5 Pro (May 2024): 39.8 (#169)
- Llama 13b: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1308 | — |

## Writing & Preference

- Gemini 1.5 Pro (May 2024): 52.4 (#172)
- Llama 13b: 13.8 (#312)

| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 13b |
|---|---|---|
| LMArena Text | 1319 | 834 |
| LMArena Creative Writing | 1333 | 794 |
| LMArena Multi-Turn | 1296 | 753 |
| WildBench | 81.3% | — |

## FAQ

### Is Gemini 1.5 Pro (May 2024) better than Llama 13b?

Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 24.4 on the Noometry Index.

### Is Gemini 1.5 Pro (May 2024) or Llama 13b better for coding?

Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 34.2 versus 21.4 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Pro (May 2024) and Llama 13b share?

11 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Llama 13b has 21.