# Gemma 3 27B vs MiniMax-M2.7

> MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 30.5 on the Noometry Index. Gemma 3 27B costs 5.2× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-27b-vs-minimax-m2-7
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemma 3 27B scores higher in 0 categories and MiniMax-M2.7 in 9 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax-M2.7 leads 41.4 to 22.1.
- The biggest single-benchmark swing is SciCode: 21.2% for Gemma 3 27B and 47% for MiniMax-M2.7.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
- MiniMax-M2.7 accepts more context: 205K tokens versus 131K.

## Snapshot

| | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| Provider | Google | MiniMax |
| Noometry Index | 30.5 | 37.4 |
| Rank | 277 | 188 |
| Context | 131K | 205K |
| Input $/M | $0.08 | $0.30 |
| Output $/M | $0.16 | $1.20 |
| Weights | Open | Open |

## Coding

- Gemma 3 27B: 22.1 (#329)
- MiniMax-M2.7: 41.4 (#115)

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| SciCode | 21.2% | 47% |
| LMArena Coding | 1322 | 1454 |
| Aider Polyglot | 4.9% | — |
| LMArena WebDev | — | 1397 |
| WeirdML | — | 37% |
| LiveBench Coding | 39.9% | — |
| ALE-Bench | — | 599.25 |

## Agentic & Tool Use

- Gemma 3 27B: 24.9 (#105)
- MiniMax-M2.7: 24.9 (#103)

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| Berkeley Function Calling Leaderboard | 29.5% | — |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |

## Reasoning

- Gemma 3 27B: 16.3 (#297)
- MiniMax-M2.7: 19.0 (#248)

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| CritPt | 0% | 0.6% |
| LMArena Hard Prompts | 1340 | 1422 |
| Epoch Capabilities Index | 130.04 | 145.84 |
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 24.7% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 39.3% |
| LiveBench Reasoning | 43.8% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| LiveBench | 50% | — |

## Math

- Gemma 3 27B: 24.4 (#261)
- MiniMax-M2.7: 24.9 (#254)

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1312 | 1420 |
| OTIS Mock AIME 2024-2025 | 22.5% | — |
| ProofBench | — | 3% |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |

## Knowledge

- Gemma 3 27B: 25.4 (#256)
- MiniMax-M2.7: 37.1 (#151)

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| Vectara Hallucination Rate | 7.4% | 12.9% |
| LMArena Expert | 1303 | 1443 |
| GPQA Diamond | 47.7% | — |
| Confabulations | 40.3% | — |

## Multimodal

- Gemma 3 27B: 32.0 (#94)
- MiniMax-M2.7: —

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| LMArena Vision | 1165 | — |
| GeoBench | 52% | — |

## Multilingual

- Gemma 3 27B: 47.0 (#150)
- MiniMax-M2.7: 50.5 (#120)

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1334 | 1382 |
| LMArena Chinese | 1347 | 1439 |
| LMArena French | 1368 | 1422 |
| LMArena German | 1362 | 1398 |
| LMArena Japanese | 1287 | 1261 |
| LMArena Korean | 1308 | 1313 |
| LMArena Russian | 1349 | 1383 |
| LMArena Spanish | 1348 | 1403 |

## Instruction Following

- Gemma 3 27B: 70.8 (#155)
- MiniMax-M2.7: 74.2 (#101)

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1321 | 1404 |
| LiveBench Instruction Following | 74.9% | — |

## Long Context

- Gemma 3 27B: 27.6 (#288)
- MiniMax-M2.7: 43.3 (#94)

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1333 | 1419 |
| Fiction.LiveBench | 33.3% | — |

## Writing & Preference

- Gemma 3 27B: 52.7 (#161)
- MiniMax-M2.7: 59.1 (#107)

| Benchmark | Gemma 3 27B | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1358 | 1404 |
| LMArena Creative Writing | 1346 | 1354 |
| LMArena Multi-Turn | 1344 | 1413 |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench Creative Writing | 1266 | — |
| LiveBench Language | 34.6% | — |

## FAQ

### Is Gemma 3 27B better than MiniMax-M2.7?

MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 30.5 on the Noometry Index. Gemma 3 27B costs 5.2× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 27B or MiniMax-M2.7?

Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.

### Is Gemma 3 27B or MiniMax-M2.7 better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.4 versus 22.1 in the Noometry coding category.

### Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 131K.

### How many benchmarks do Gemma 3 27B and MiniMax-M2.7 share?

21 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and MiniMax-M2.7 has 30.