# Gemini 3.7 Flash vs Llama 2-13B

> Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-7-flash-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.1 to 12.3.
- The biggest single-benchmark swing is DTBench: 96.8% for Gemini 3.7 Flash and 42.2% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 59.8 | 29.1 |
| Rank | 11 | 304 |
| Context | 1.05M | — |
| Input $/M | $0.75 | — |
| Output $/M | $3.75 | — |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.7 Flash: 55.7 (#19)
- Llama 2-13B: 30.4 (#287)

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1499 | 1062 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1593 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| ALE-Bench | 904.3 | — |

## Agentic & Tool Use

- Gemini 3.7 Flash: 42.2 (#18)
- Llama 2-13B: —

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |

## Reasoning

- Gemini 3.7 Flash: 70.1 (#12)
- Llama 2-13B: 12.3 (#333)

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 47% | 0% |
| LMArena Hard Prompts | 1497 | 1051 |
| DTBench | 96.8% | 42.2% |
| Epoch Capabilities Index | 157.72 | 105.8 |
| ARC-AGI-2 | 84.6% | — |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 37% | — |
| LMCA | 50.4% | — |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- Gemini 3.7 Flash: 69.5 (#18)
- Llama 2-13B: 28.7 (#226)

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| LMArena Math | 1511 | 1065 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
| ProofBench | 58% | — |
| GSM8K | — | 36.9% |

## Knowledge

- Gemini 3.7 Flash: 69.8 (#4)
- Llama 2-13B: 27.5 (#244)

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1508 | 1030 |
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- Gemini 3.7 Flash: 36.9 (#69)
- Llama 2-13B: —

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1314 | — |
| Furniture Assembly | 26.7% | — |
| ScienceQA | — | 55.8% |

## Multilingual

- Gemini 3.7 Flash: 57.8 (#7)
- Llama 2-13B: 26.7 (#274)

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1485 | 1024 |
| LMArena Chinese | 1553 | 1001 |
| LMArena French | 1512 | 1043 |
| LMArena German | 1485 | 1009 |
| LMArena Japanese | 1506 | 894 |
| LMArena Korean | 1486 | 953 |
| LMArena Russian | 1519 | 1055 |
| LMArena Spanish | 1507 | 1086 |

## Instruction Following

- Gemini 3.7 Flash: 78.0 (#12)
- Llama 2-13B: 53.5 (#282)

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1486 | 1046 |

## Long Context

- Gemini 3.7 Flash: 45.8 (#28)
- Llama 2-13B: 32.3 (#264)

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1493 | 1064 |

## Writing & Preference

- Gemini 3.7 Flash: 71.4 (#19)
- Llama 2-13B: 30.0 (#284)

| Benchmark | Gemini 3.7 Flash | Llama 2-13B |
|---|---|---|
| LMArena Text | 1487 | 1085 |
| LMArena Creative Writing | 1490 | 1047 |
| LMArena Multi-Turn | 1495 | 1050 |
| EQ-Bench Creative Writing | 1723 | — |

## FAQ

### Is Gemini 3.7 Flash better than Llama 2-13B?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 29.1 on the Noometry Index.

### Is Gemini 3.7 Flash or Llama 2-13B better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 30.4 in the Noometry coding category.

### How many benchmarks do Gemini 3.7 Flash and Llama 2-13B share?

20 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Llama 2-13B has 32.