# Gemma 2 27B vs GPT-5.3 Codex

> GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 29.2 on the Noometry Index. Gemma 2 27B costs 7.4× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-2-27b-vs-gpt-5-3-codex
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Gemma 2 27B scores higher in 0 categories and GPT-5.3 Codex in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 33.5.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 29.2 | 45.5 |
| Rank | 302 | 61 |
| Context | 8K | 400K |
| Input $/M | $0.65 | $1.75 |
| Output $/M | $0.65 | $14 |
| Weights | Open | Proprietary |

## Coding

- Gemma 2 27B: 33.5 (#243)
- GPT-5.3 Codex: 48.5 (#51)

| Benchmark | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1408 |
| WeirdML | — | 79.3% |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| LMArena Coding | 1211 | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | — | 1,655 |

## Agentic & Tool Use

- Gemma 2 27B: —
- GPT-5.3 Codex: 47.8 (#9)

| Benchmark | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |

## Reasoning

- Gemma 2 27B: 14.8 (#313)
- GPT-5.3 Codex: —

| Benchmark | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| Epoch Capabilities Index | 122.06 | 156.84 |
| LiveBench Reasoning | 28.1% | — |
| LMArena Hard Prompts | 1199 | — |
| DTBench | 48% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| LiveBench | 38.2% | — |

## Math

- Gemma 2 27B: 10.0 (#306)
- GPT-5.3 Codex: —

| Benchmark | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.4% | — |
| LiveBench Math | 26.5% | — |
| LMArena Math | 1212 | — |
| MATH Level 5 | 27.9% | — |

## Knowledge

- Gemma 2 27B: 18.9 (#275)
- GPT-5.3 Codex: —

| Benchmark | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| GPQA Diamond | 36.5% | — |
| Confabulations | 27.1% | — |
| LMArena Expert | 1172 | — |
| MMLU | 75.7% | — |

## Multilingual

- Gemma 2 27B: 38.8 (#221)
- GPT-5.3 Codex: —

| Benchmark | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 1217 | — |
| LMArena Chinese | 1221 | — |
| LMArena French | 1246 | — |
| LMArena German | 1209 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1174 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1228 | — |

## Instruction Following

- Gemma 2 27B: 60.7 (#244)
- GPT-5.3 Codex: —

| Benchmark | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| LiveBench Instruction Following | 58.1% | — |
| LMArena Instruction Following | 1206 | — |

## Long Context

- Gemma 2 27B: 37.3 (#213)
- GPT-5.3 Codex: —

| Benchmark | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1231 | — |

## Writing & Preference

- Gemma 2 27B: 44.4 (#220)
- GPT-5.3 Codex: —

| Benchmark | Gemma 2 27B | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1231 | — |
| LMArena Creative Writing | 1241 | — |
| LMArena Multi-Turn | 1224 | — |
| LiveBench Language | 32.6% | — |

## FAQ

### Is Gemma 2 27B better than GPT-5.3 Codex?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 29.2 on the Noometry Index. Gemma 2 27B costs 7.4× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

### Which is cheaper, Gemma 2 27B or GPT-5.3 Codex?

Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

### Is Gemma 2 27B or GPT-5.3 Codex better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 8K.

### How many benchmarks do Gemma 2 27B and GPT-5.3 Codex share?

1 benchmark has published results for both models. Gemma 2 27B has 34 scored results on Noometry and GPT-5.3 Codex has 8.