# Gemma 3 27B vs GPT-6 Sol

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 30.5 on the Noometry Index. Gemma 3 27B costs 40× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-27b-vs-gpt-6-sol
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Gemma 3 27B scores higher in 0 categories and GPT-6 Sol in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-6 Sol leads 59.6 to 22.1.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 131K.
- Gemma 3 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 30.5 | 49.2 |
| Rank | 277 | 46 |
| Context | 131K | 1.05M |
| Input $/M | $0.08 | $2 |
| Output $/M | $0.16 | $10 |
| Weights | Open | Proprietary |

## Coding

- Gemma 3 27B: 22.1 (#329)
- GPT-6 Sol: 59.6 (#11)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1322 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| Aider Polyglot | 4.9% | — |
| LMArena WebDev | — | 1692 |
| SciCode | 21.2% | — |
| LiveBench Coding | 39.9% | — |

## Agentic & Tool Use

- Gemma 3 27B: 24.9 (#105)
- GPT-6 Sol: 33.5 (#49)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
| GDP.pdf | — | 28% |

## Reasoning

- Gemma 3 27B: 16.3 (#297)
- GPT-6 Sol: 49.3 (#34)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1340 | 1420 |
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 90.1% |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| EBR-Bench | — | 53.3% |
| LiveBench Reasoning | 43.8% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| Epoch Capabilities Index | 130.04 | — |
| LiveBench | 50% | — |

## Math

- Gemma 3 27B: 24.4 (#261)
- GPT-6 Sol: 35.8 (#135)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1312 | 1404 |
| OTIS Mock AIME 2024-2025 | 22.5% | — |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |

## Knowledge

- Gemma 3 27B: 25.4 (#256)
- GPT-6 Sol: 43.0 (#87)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | 7.4% | 6.5% |
| LMArena Expert | 1303 | 1449 |
| GPQA Diamond | 47.7% | — |
| Confabulations | 40.3% | — |

## Multimodal

- Gemma 3 27B: 32.0 (#94)
- GPT-6 Sol: 47.6 (#9)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1165 | — |
| GeoBench | 52% | — |
| Furniture Assembly | — | 58.3% |

## Multilingual

- Gemma 3 27B: 47.0 (#150)
- GPT-6 Sol: 51.0 (#113)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1334 | 1389 |
| LMArena Chinese | 1347 | 1416 |
| LMArena Russian | 1349 | 1407 |
| LMArena Spanish | 1348 | 1377 |
| LMArena French | 1368 | — |
| LMArena German | 1362 | — |
| LMArena Japanese | 1287 | — |
| LMArena Korean | 1308 | — |

## Instruction Following

- Gemma 3 27B: 70.8 (#155)
- GPT-6 Sol: 74.4 (#97)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1321 | 1406 |
| LiveBench Instruction Following | 74.9% | — |

## Long Context

- Gemma 3 27B: 27.6 (#288)
- GPT-6 Sol: 43.2 (#100)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1333 | 1415 |
| Fiction.LiveBench | 33.3% | — |

## Writing & Preference

- Gemma 3 27B: 52.7 (#161)
- GPT-6 Sol: 72.3 (#15)

| Benchmark | Gemma 3 27B | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1358 | 1396 |
| LMArena Creative Writing | 1346 | 1392 |
| EQ-Bench Creative Writing | 1266 | 2125 |
| LMArena Multi-Turn | 1344 | 1405 |
| Short-Story Creative Writing | 79.9% | — |
| LiveBench Language | 34.6% | — |

## FAQ

### Is Gemma 3 27B better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 30.5 on the Noometry Index. Gemma 3 27B costs 40× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 27B or GPT-6 Sol?

Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is Gemma 3 27B or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 22.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 131K.

### How many benchmarks do Gemma 3 27B and GPT-6 Sol share?

15 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and GPT-6 Sol has 22.