# Gemma 2 27B vs Mercury 2

> Mercury 2 is the stronger model overall, scoring 38.8 to 29.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-2-27b-vs-mercury-2
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Gemma 2 27B scores higher in 1 category and Mercury 2 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mercury 2 leads 35.6 to 18.9.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.65 / $0.65 for Gemma 2 27B.
- Mercury 2 accepts more context: 128K tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 2 27B | Mercury 2 |
|---|---|---|
| Provider | Google | Inception |
| Noometry Index | 29.2 | 38.8 |
| Rank | 302 | 167 |
| Context | 8K | 128K |
| Input $/M | $0.65 | $0.25 |
| Output $/M | $0.65 | $0.75 |
| Weights | Open | Proprietary |

## Coding

- Gemma 2 27B: 33.5 (#243)
- Mercury 2: 33.2 (#250)

| Benchmark | Gemma 2 27B | Mercury 2 |
|---|---|---|
| LMArena Coding | 1211 | 1391 |
| LMArena WebDev | — | 1170 |
| SciCode | — | 38.7% |
| WeirdML | — | 43.2% |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | — | 785.58 |

## Reasoning

- Gemma 2 27B: 14.8 (#313)
- Mercury 2: 23.0 (#170)

| Benchmark | Gemma 2 27B | Mercury 2 |
|---|---|---|
| LMArena Hard Prompts | 1199 | 1362 |
| CritPt | — | 0.8% |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 48% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| Epoch Capabilities Index | 122.06 | — |
| LiveBench | 38.2% | — |

## Math

- Gemma 2 27B: 10.0 (#306)
- Mercury 2: —

| Benchmark | Gemma 2 27B | Mercury 2 |
|---|---|---|
| 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)
- Mercury 2: 35.6 (#170)

| Benchmark | Gemma 2 27B | Mercury 2 |
|---|---|---|
| LMArena Expert | 1172 | 1358 |
| GPQA Diamond | 36.5% | — |
| Confabulations | 27.1% | — |
| Vectara Hallucination Rate | — | 12.3% |
| MMLU | 75.7% | — |

## Multilingual

- Gemma 2 27B: 38.8 (#221)
- Mercury 2: 46.8 (#153)

| Benchmark | Gemma 2 27B | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1217 | 1331 |
| LMArena Chinese | 1221 | 1416 |
| LMArena Russian | 1234 | 1303 |
| LMArena French | 1246 | — |
| LMArena German | 1209 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1174 | — |
| LMArena Spanish | 1228 | — |

## Instruction Following

- Gemma 2 27B: 60.7 (#244)
- Mercury 2: 70.4 (#161)

| Benchmark | Gemma 2 27B | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1206 | 1328 |
| LiveBench Instruction Following | 58.1% | — |

## Long Context

- Gemma 2 27B: 37.3 (#213)
- Mercury 2: 40.4 (#149)

| Benchmark | Gemma 2 27B | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1231 | 1329 |

## Writing & Preference

- Gemma 2 27B: 44.4 (#220)
- Mercury 2: 54.0 (#151)

| Benchmark | Gemma 2 27B | Mercury 2 |
|---|---|---|
| LMArena Text | 1231 | 1355 |
| LMArena Creative Writing | 1241 | 1289 |
| LMArena Multi-Turn | 1224 | 1358 |
| LiveBench Language | 32.6% | — |

## FAQ

### Is Gemma 2 27B better than Mercury 2?

Mercury 2 is the stronger model overall, scoring 38.8 to 29.2 on the Noometry Index.

### Which is cheaper, Gemma 2 27B or Mercury 2?

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Gemma 2 27B lists at $0.65 and $0.65.

### Is Gemma 2 27B or Mercury 2 better for coding?

They score almost the same on coding (33.5 vs 33.2); test both on your own repository before choosing.

### Which has the bigger context window?

Mercury 2 does, with 128K tokens against 8K.

### How many benchmarks do Gemma 2 27B and Mercury 2 share?

11 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and Mercury 2 has 17.