# Gemma 3 27B vs gpt-oss-20b

> gpt-oss-20b is the stronger model overall, scoring 32.1 to 30.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3-27b-vs-gpt-oss-20b
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Gemma 3 27B scores higher in 4 categories and gpt-oss-20b in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 3 27B leads 52.7 to 35.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 22.5% for Gemma 3 27B and 65.3% for gpt-oss-20b.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.08 / $0.16 for Gemma 3 27B.

## Snapshot

| | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 30.5 | 32.1 |
| Rank | 277 | 249 |
| Context | 131K | 131K |
| Input $/M | $0.08 | $0.018 |
| Output $/M | $0.16 | $0.09 |
| Weights | Open | Open |

## Coding

- Gemma 3 27B: 22.1 (#329)
- gpt-oss-20b: 37.1 (#185)

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| SciCode | 21.2% | 34.4% |
| LMArena Coding | 1322 | 1307 |
| Aider Polyglot | 4.9% | — |
| WeirdML | — | 40.9% |
| LiveBench Coding | 39.9% | — |
| ALE-Bench | — | 566.05 |

## Agentic & Tool Use

- Gemma 3 27B: 24.9 (#105)
- gpt-oss-20b: 9.2 (#146)

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
| Berkeley Function Calling Leaderboard | 29.5% | — |

## Reasoning

- Gemma 3 27B: 16.3 (#297)
- gpt-oss-20b: 18.8 (#251)

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | 53.2% |
| CritPt | 0% | 1.4% |
| Chess Puzzles | 0% | 4% |
| LMArena Hard Prompts | 1340 | 1274 |
| DTBench | 52.5% | 68% |
| LMCA | 12.3% | 14.5% |
| Epoch Capabilities Index | 130.04 | 137.81 |
| LiveBench Reasoning | 43.8% | — |
| LiveBench Data Analysis | 51.5% | — |
| LiveBench | 50% | — |

## Math

- Gemma 3 27B: 24.4 (#261)
- gpt-oss-20b: 37.6 (#93)

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | 65.3% |
| LMArena Math | 1312 | 1317 |
| Omni-MATH | — | 56.5% |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |

## Knowledge

- Gemma 3 27B: 25.4 (#256)
- gpt-oss-20b: 34.6 (#186)

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | 47.7% | 60.8% |
| LMArena Expert | 1303 | 1258 |
| MMLU-Pro | — | 74% |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
| GPQA (HELM) | — | 59.4% |

## Multimodal

- Gemma 3 27B: 32.0 (#94)
- gpt-oss-20b: —

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| LMArena Vision | 1165 | — |
| GeoBench | 52% | — |

## Multilingual

- Gemma 3 27B: 47.0 (#150)
- gpt-oss-20b: 42.4 (#192)

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1334 | 1269 |
| LMArena Chinese | 1347 | 1311 |
| LMArena German | 1362 | 1249 |
| LMArena Japanese | 1287 | 1245 |
| LMArena Korean | 1308 | 1239 |
| LMArena Russian | 1349 | 1279 |
| LMArena Spanish | 1348 | 1267 |
| LMArena French | 1368 | — |

## Instruction Following

- Gemma 3 27B: 70.8 (#155)
- gpt-oss-20b: 62.0 (#235)

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1321 | 1236 |
| LiveBench Instruction Following | 74.9% | — |
| IFEval | — | 73.2% |

## Long Context

- Gemma 3 27B: 27.6 (#288)
- gpt-oss-20b: 37.9 (#203)

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1333 | 1251 |
| Fiction.LiveBench | 33.3% | — |

## Writing & Preference

- Gemma 3 27B: 52.7 (#161)
- gpt-oss-20b: 35.8 (#260)

| Benchmark | Gemma 3 27B | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1358 | 1288 |
| LMArena Creative Writing | 1346 | 1201 |
| EQ-Bench Creative Writing | 1266 | 666 |
| LMArena Multi-Turn | 1344 | 1268 |
| Short-Story Creative Writing | 79.9% | — |
| WildBench | — | 73.7% |
| LiveBench Language | 34.6% | — |

## FAQ

### Is Gemma 3 27B better than gpt-oss-20b?

gpt-oss-20b is the stronger model overall, scoring 32.1 to 30.5 on the Noometry Index.

### Which is cheaper, Gemma 3 27B or gpt-oss-20b?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Gemma 3 27B lists at $0.08 and $0.16.

### Is Gemma 3 27B or gpt-oss-20b better for coding?

gpt-oss-20b scores higher on coding benchmarks: 37.1 versus 22.1 in the Noometry coding category.

### Which has the bigger context window?

Both accept 131K tokens.

### How many benchmarks do Gemma 3 27B and gpt-oss-20b share?

26 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and gpt-oss-20b has 34.