# Gemma 2B vs GPT-5.3 Chat

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-2b-vs-gpt-5-3-chat
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Gemma 2B scores higher in 0 categories and GPT-5.3 Chat in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 24.0.
- Gemma 2B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 29.6 | 42.8 |
| Rank | 307 | 109 |
| Context | — | 128K |
| Input $/M | — | $1.75 |
| Output $/M | — | $14 |
| Weights | Open | Proprietary |

## Coding

- Gemma 2B: 29.4 (#305)
- GPT-5.3 Chat: 41.4 (#124)

| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1010 | 1408 |
| HumanEval+ | 20.7% | — |
| MBPP+ | 34.1% | — |

## Reasoning

- Gemma 2B: 18.8 (#275)
- GPT-5.3 Chat: 28.5 (#102)

| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 989 | 1399 |
| BIG-Bench Hard | 35.2% | — |
| Epoch Capabilities Index | 94.2 | — |
| HellaSwag | 71.4% | — |
| PIQA | 77.3% | — |
| WinoGrande | 65.4% | — |

## Math

- Gemma 2B: 30.0 (#239)
- GPT-5.3 Chat: 38.2 (#142)

| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1009 | 1389 |
| GSM8K | 17.7% | — |

## Knowledge

- Gemma 2B: —
- GPT-5.3 Chat: 38.8 (#140)

| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | — | 1397 |
| ARC (AI2) Challenge | 42.1% | — |
| BoolQ | 69.4% | — |
| MMLU | 42.3% | — |
| TriviaQA | 53.2% | — |

## Multilingual

- Gemma 2B: 23.0 (#294)
- GPT-5.3 Chat: 50.3 (#124)

| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 958 | 1382 |
| LMArena Chinese | 986 | 1432 |
| LMArena Russian | 937 | 1400 |
| LMArena French | — | 1397 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1352 |
| LMArena Korean | — | 1346 |
| LMArena Spanish | — | 1371 |

## Instruction Following

- Gemma 2B: 48.5 (#302)
- GPT-5.3 Chat: 72.8 (#129)

| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 970 | 1378 |

## Long Context

- Gemma 2B: 29.9 (#291)
- GPT-5.3 Chat: 42.6 (#120)

| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 981 | 1396 |

## Writing & Preference

- Gemma 2B: 24.0 (#308)
- GPT-5.3 Chat: 63.1 (#68)

| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1002 | 1389 |
| LMArena Creative Writing | 987 | 1355 |
| LMArena Multi-Turn | 945 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |

## FAQ

### Is Gemma 2B better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.6 on the Noometry Index.

### Is Gemma 2B or GPT-5.3 Chat better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 29.4 in the Noometry coding category.

### How many benchmarks do Gemma 2B and GPT-5.3 Chat share?

11 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and GPT-5.3 Chat has 18.