# Gemini 3.5 Flash vs Llama 2-7B

> Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-5-flash-vs-llama-2-7b
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 15.7.
- The biggest single-benchmark swing is Chess Puzzles: 50% for Gemini 3.5 Flash and 0% for Llama 2-7B.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 54.2 | 29.1 |
| Rank | 32 | 317 |
| Context | 1.05M | — |
| Input $/M | $1.50 | — |
| Output $/M | $9 | — |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.5 Flash: 49.4 (#49)
- Llama 2-7B: 29.2 (#307)

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1492 | 1002 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| LMArena WebDev | 1499 | — |
| SciCode | 53.1% | — |
| WeirdML | 62.6% | — |
| ALE-Bench | 911.02 | — |

## Agentic & Tool Use

- Gemini 3.5 Flash: 24.7 (#114)
- Llama 2-7B: —

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| APEX-Agents | 27.5% | — |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |

## Reasoning

- Gemini 3.5 Flash: 62.8 (#18)
- Llama 2-7B: 15.7 (#312)

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 50% | 0% |
| LMArena Hard Prompts | 1488 | 1009 |
| Epoch Capabilities Index | 154.46 | 99.06 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| NYT Connections (extended) | 92.6% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 13.1% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| Mystery Game Puzzles | 32% | — |
| DTBench | 94.7% | — |
| LMCA | 47.1% | — |
| Surface Evolver Bench | 58.1% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 59 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- Gemini 3.5 Flash: 60.7 (#36)
- Llama 2-7B: 30.7 (#233)

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Math | 1504 | 1042 |
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 31% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
| GSM8K | — | 16.7% |

## Knowledge

- Gemini 3.5 Flash: 66.3 (#11)
- Llama 2-7B: 28.2 (#248)

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1495 | 1036 |
| GPQA Diamond | 92.8% | — |
| SimpleQA Verified | 66.2% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- Gemini 3.5 Flash: 45.7 (#15)
- Llama 2-7B: —

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1310 | — |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |
| ScienceQA | — | 43.1% |

## Multilingual

- Gemini 3.5 Flash: 57.0 (#13)
- Llama 2-7B: 23.8 (#293)

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1476 | 973 |
| LMArena Chinese | 1526 | 973 |
| LMArena French | 1490 | 970 |
| LMArena German | 1492 | 978 |
| LMArena Russian | 1493 | 995 |
| LMArena Spanish | 1480 | 1007 |
| LMArena Japanese | 1486 | — |
| LMArena Korean | 1451 | — |

## Instruction Following

- Gemini 3.5 Flash: 77.0 (#30)
- Llama 2-7B: 50.8 (#298)

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1467 | 1006 |

## Long Context

- Gemini 3.5 Flash: 45.4 (#38)
- Llama 2-7B: 30.4 (#287)

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1482 | 999 |

## Writing & Preference

- Gemini 3.5 Flash: 65.5 (#47)
- Llama 2-7B: 28.0 (#298)

| Benchmark | Gemini 3.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Text | 1482 | 1053 |
| LMArena Creative Writing | 1470 | 1033 |
| LMArena Multi-Turn | 1481 | 1029 |
| EQ-Bench 4 | 1087 | — |

## FAQ

### Is Gemini 3.5 Flash better than Llama 2-7B?

Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 29.1 on the Noometry Index.

### Is Gemini 3.5 Flash or Llama 2-7B better for coding?

Gemini 3.5 Flash scores higher on coding benchmarks: 49.4 versus 29.2 in the Noometry coding category.

### How many benchmarks do Gemini 3.5 Flash and Llama 2-7B share?

17 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Llama 2-7B has 29.
