---
title: "Gemma 2 2B Benchmarks - RankedAGI"
description: "Detailed benchmark and metadata record for Gemma 2."
source: "https://rankedagi.com/models/gemma-2-2b"
---

# Gemma 2

| Field | Value |
| --- | --- |
| Organization | Google |
| License | Open Source |
| Size | 2B |
| Version | Latest |
| Released | 2024-07-31 |
| Context window | 8K |
| Knowledge cutoff | 2024-06-01 |
| Last updated | 2025-04-16 22:14:46.146909+00 |

## Benchmarks

| Benchmark | Category | Value | Description | Source |
| --- | --- | --- | --- | --- |
| RankedAGI Coding | coding | 25.0% | RankedAGI Coding Score |  |
| RankedAGI Agentic | Agents | 36.7% | RankedAGI Agentic Score |  |
| RankedAGI Reasoning | reasoning | 25.5% | RankedAGI Reasoning Score |  |
| HumanEval | coding | 17.7% | HumanEval coding benchmark |  |
| MMLU | knowledge | 51.3% | Image Reasoning |  |
| Hughes Hallucination Evaluation | safety | 7.0% | Computed using Vectara's Hallucination Evaluation Model, also known as HHEM. This evaluates how often an LLM introduces hallucinations when summarizing a document. | https://github.com/vectara/hallucination-leaderboard |
| RankedAGI Math | math | 45.3% | RankedAGI Math Score |  |
| RankedAGI Overall | general | 36.1% | Overall RankedAGI score |  |