# Gemma 2 27B vs GPT-5.4 mini

> GPT-5.4 mini is the stronger model overall, scoring 44.8 to 29.2 on the Noometry Index. Gemma 2 27B costs 2.6× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-2-27b-vs-gpt-5-4-mini
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Gemma 2 27B scores higher in 0 categories and GPT-5.4 mini in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.4 mini leads 45.4 to 10.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.4% for Gemma 2 27B and 88.9% for GPT-5.4 mini.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
- GPT-5.4 mini accepts more context: 400K tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 29.2 | 44.8 |
| Rank | 302 | 69 |
| Context | 8K | 400K |
| Input $/M | $0.65 | $0.75 |
| Output $/M | $0.65 | $4.50 |
| Weights | Open | Proprietary |

## Coding

- Gemma 2 27B: 33.5 (#243)
- GPT-5.4 mini: 45.0 (#67)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| LMArena Coding | 1211 | 1438 |
| FrontierCode | — | 27% |
| LMArena WebDev | — | 1397 |
| SciCode | — | 49.9% |
| WeirdML | — | 60.3% |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | — | 1,189 |

## Agentic & Tool Use

- Gemma 2 27B: —
- GPT-5.4 mini: 29.6 (#74)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| DeepResearch Bench | — | 36.3% |

## Reasoning

- Gemma 2 27B: 14.8 (#313)
- GPT-5.4 mini: 30.3 (#77)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| LMArena Hard Prompts | 1199 | 1424 |
| DTBench | 48% | 80% |
| LMCA | 7.1% | 40.8% |
| Epoch Capabilities Index | 122.06 | 148.83 |
| ARC-AGI-2 | — | 18.9% |
| Kagi LLM Benchmark | — | 37.9% |
| NYT Connections (extended) | — | 61.8% |
| ARC-AGI-1 | — | 63.7% |
| CritPt | — | 10% |
| Chess Puzzles | — | 24% |
| Thematic Generalization | — | 61.7% |
| LiveBench Reasoning | 28.1% | — |
| Mystery Game Puzzles | — | 11% |
| LiveBench Data Analysis | 47.9% | — |
| ForecastBench | — | 57 |
| LiveBench | 38.2% | — |

## Math

- Gemma 2 27B: 10.0 (#306)
- GPT-5.4 mini: 45.4 (#63)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.4% | 88.9% |
| LMArena Math | 1212 | 1418 |
| FrontierMath (Tiers 1-3) | — | 51.2% |
| FrontierMath Tier 4 | — | 9.8% |
| ProofBench | — | 21% |
| LiveBench Math | 26.5% | — |
| MATH Level 5 | 27.9% | — |
| FrontierMath (Feb 2025 set) | — | 28.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Gemma 2 27B: 18.9 (#275)
- GPT-5.4 mini: 51.4 (#62)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| GPQA Diamond | 36.5% | 86.9% |
| LMArena Expert | 1172 | 1434 |
| SimpleQA Verified | — | 29.4% |
| Confabulations | 27.1% | — |
| Vectara Hallucination Rate | — | 5.5% |
| MMLU | 75.7% | — |

## Multimodal

- Gemma 2 27B: —
- GPT-5.4 mini: 39.0 (#51)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| LMArena Vision | — | 1245 |

## Multilingual

- Gemma 2 27B: 38.8 (#221)
- GPT-5.4 mini: 52.1 (#94)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| LMArena Non-English | 1217 | 1405 |
| LMArena Chinese | 1221 | 1446 |
| LMArena French | 1246 | 1440 |
| LMArena German | 1209 | 1407 |
| LMArena Japanese | 1175 | 1375 |
| LMArena Korean | 1174 | 1369 |
| LMArena Russian | 1234 | 1417 |
| LMArena Spanish | 1228 | 1403 |

## Instruction Following

- Gemma 2 27B: 60.7 (#244)
- GPT-5.4 mini: 74.3 (#99)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| LMArena Instruction Following | 1206 | 1405 |
| LiveBench Instruction Following | 58.1% | — |

## Long Context

- Gemma 2 27B: 37.3 (#213)
- GPT-5.4 mini: 42.9 (#107)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| LMArena Longer Query | 1231 | 1407 |

## Writing & Preference

- Gemma 2 27B: 44.4 (#220)
- GPT-5.4 mini: 64.2 (#56)

| Benchmark | Gemma 2 27B | GPT-5.4 mini |
|---|---|---|
| LMArena Text | 1231 | 1411 |
| LMArena Creative Writing | 1241 | 1370 |
| LMArena Multi-Turn | 1224 | 1429 |
| EQ-Bench Creative Writing | — | 1665 |
| LiveBench Language | 32.6% | — |

## FAQ

### Is Gemma 2 27B better than GPT-5.4 mini?

GPT-5.4 mini is the stronger model overall, scoring 44.8 to 29.2 on the Noometry Index. Gemma 2 27B costs 2.6× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.

### Which is cheaper, Gemma 2 27B or GPT-5.4 mini?

Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.

### Is Gemma 2 27B or GPT-5.4 mini better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.0 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.4 mini does, with 400K tokens against 8K.

### How many benchmarks do Gemma 2 27B and GPT-5.4 mini share?

22 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and GPT-5.4 mini has 46.