# Gemini 1.5 Flash (May 2024) vs Llama 3-70B

> Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 32.9 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-vs-llama-3-70b
- Last updated: 2026-10-10
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 8 categories and Llama 3-70B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemini 1.5 Flash (May 2024) leads 43.1 to 33.8.
- The biggest single-benchmark swing is MATH Level 5: 61.9% for Gemini 1.5 Flash (May 2024) and 22.6% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 32.9 | 28.5 |
| Rank | 240 | 317 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Flash (May 2024): 33.9 (#233)
- Llama 3-70B: 35.3 (#215)

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| BigCodeBench Instruct | 43.5% | 43.6% |
| LMArena Coding | 1262 | 1206 |
| BigCodeBench Complete | 55.1% | 54.5% |
| HumanEval+ | 75.6% | 72% |
| MBPP+ | 67.5% | 69% |
| WeirdML | 24.9% | — |

## Agentic & Tool Use

- Gemini 1.5 Flash (May 2024): 26.3 (#97)
- Llama 3-70B: 20.9 (#132)

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| Cybench | — | 5% |
| BALROG | 14.6% | — |

## Reasoning

- Gemini 1.5 Flash (May 2024): 20.8 (#212)
- Llama 3-70B: 17.4 (#284)

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1195 |
| DTBench | 53.8% | 54.2% |
| Epoch Capabilities Index | 129.37 | 122.91 |
| ForecastBench | 53.9 | 57.1 |
| Kagi LLM Benchmark | — | 35.1% |
| PIQA | 87.5% | — |
| WinoGrande | — | 83.5% |

## Math

- Gemini 1.5 Flash (May 2024): 20.8 (#274)
- Llama 3-70B: 12.0 (#299)

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 4.3% |
| LMArena Math | 1269 | 1218 |
| MATH Level 5 | 61.9% | 22.6% |
| Omni-MATH | 30.4% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |

## Knowledge

- Gemini 1.5 Flash (May 2024): 26.2 (#253)
- Llama 3-70B: 20.8 (#272)

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 47.3% | 40.6% |
| LMArena Expert | 1233 | 1149 |
| MMLU | 77.9% | 79.3% |
| MMLU-Pro | 67.8% | — |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |

## Multimodal

- Gemini 1.5 Flash (May 2024): 35.3 (#76)
- Llama 3-70B: —

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |

## Multilingual

- Gemini 1.5 Flash (May 2024): 43.1 (#184)
- Llama 3-70B: 33.8 (#246)

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1278 | 1142 |
| LMArena Chinese | 1295 | 1114 |
| LMArena French | 1257 | 1231 |
| LMArena German | 1262 | 1169 |
| LMArena Japanese | 1252 | 1017 |
| LMArena Korean | 1220 | 1017 |
| LMArena Russian | 1288 | 1159 |
| LMArena Spanish | 1242 | 1241 |

## Instruction Following

- Gemini 1.5 Flash (May 2024): 67.0 (#199)
- Llama 3-70B: 62.8 (#233)

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1194 |
| IFEval | 83.1% | — |

## Long Context

- Gemini 1.5 Flash (May 2024): 39.0 (#182)
- Llama 3-70B: 35.6 (#235)

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1284 | 1174 |

## Writing & Preference

- Gemini 1.5 Flash (May 2024): 48.9 (#190)
- Llama 3-70B: 43.0 (#225)

| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3-70B |
|---|---|---|
| LMArena Text | 1287 | 1221 |
| LMArena Creative Writing | 1285 | 1210 |
| LMArena Multi-Turn | 1253 | 1223 |
| WildBench | 79.2% | — |

## FAQ

### Is Gemini 1.5 Flash (May 2024) better than Llama 3-70B?

Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 32.9 to 28.5 on the Noometry Index.

### Is Gemini 1.5 Flash (May 2024) or Llama 3-70B better for coding?

Llama 3-70B scores higher on coding benchmarks: 35.3 versus 33.9 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Flash (May 2024) and Llama 3-70B share?

28 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Llama 3-70B has 31.