# Gemma 3 27B vs Kimi K2.7 Code

> Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 30.5 on the Noometry Index. Gemma 3 27B costs 17× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-27b-vs-kimi-k2-7-code
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Gemma 3 27B scores higher in 1 category and Kimi K2.7 Code in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.6 to 24.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 22.5% for Gemma 3 27B and 95.6% for Kimi K2.7 Code.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 131K.

## Snapshot

| | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| Provider | Google | Moonshot AI |
| Noometry Index | 30.5 | 43.0 |
| Rank | 277 | 90 |
| Context | 131K | 262K |
| Input $/M | $0.08 | $0.95 |
| Output $/M | $0.16 | $4 |
| Weights | Open | Open |

## Coding

- Gemma 3 27B: 22.1 (#329)
- Kimi K2.7 Code: 42.4 (#92)

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| SciCode | 21.2% | 47.5% |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| Aider Polyglot | 4.9% | — |
| LMArena WebDev | — | 1473 |
| WeirdML | — | 54.1% |
| LiveBench Coding | 39.9% | — |
| LMArena Coding | 1322 | — |
| ALE-Bench | — | 886.23 |

## Agentic & Tool Use

- Gemma 3 27B: 24.9 (#105)
- Kimi K2.7 Code: 23.9 (#115)

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| Berkeley Function Calling Leaderboard | 29.5% | — |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |

## Reasoning

- Gemma 3 27B: 16.3 (#297)
- Kimi K2.7 Code: 38.2 (#56)

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| CritPt | 0% | 10% |
| Chess Puzzles | 0% | 21% |
| Epoch Capabilities Index | 130.04 | 150.01 |
| SimpleBench | — | 57.9% |
| Kagi LLM Benchmark | 40.4% | — |
| LiveBench Reasoning | 43.8% | — |
| LMArena Hard Prompts | 1340 | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| Surface Evolver Bench | — | 48.8% |
| LiveBench | 50% | — |

## Math

- Gemma 3 27B: 24.4 (#261)
- Kimi K2.7 Code: 52.6 (#39)

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| LiveBench Math | 55.4% | — |
| LMArena Math | 1312 | — |
| MATH Level 5 | 74% | — |

## Knowledge

- Gemma 3 27B: 25.4 (#256)
- Kimi K2.7 Code: 53.6 (#51)

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 47.7% | 87.9% |
| SimpleQA Verified | — | 36.5% |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1303 | — |

## Multimodal

- Gemma 3 27B: 32.0 (#94)
- Kimi K2.7 Code: —

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1165 | — |
| GeoBench | 52% | — |

## Multilingual

- Gemma 3 27B: 47.0 (#150)
- Kimi K2.7 Code: —

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1334 | — |
| LMArena Chinese | 1347 | — |
| LMArena French | 1368 | — |
| LMArena German | 1362 | — |
| LMArena Japanese | 1287 | — |
| LMArena Korean | 1308 | — |
| LMArena Russian | 1349 | — |
| LMArena Spanish | 1348 | — |

## Instruction Following

- Gemma 3 27B: 70.8 (#155)
- Kimi K2.7 Code: —

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| LiveBench Instruction Following | 74.9% | — |
| LMArena Instruction Following | 1321 | — |

## Long Context

- Gemma 3 27B: 27.6 (#288)
- Kimi K2.7 Code: —

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| Fiction.LiveBench | 33.3% | — |
| LMArena Longer Query | 1333 | — |

## Writing & Preference

- Gemma 3 27B: 52.7 (#161)
- Kimi K2.7 Code: —

| Benchmark | Gemma 3 27B | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1358 | — |
| LMArena Creative Writing | 1346 | — |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench Creative Writing | 1266 | — |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 34.6% | — |

## FAQ

### Is Gemma 3 27B better than Kimi K2.7 Code?

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 30.5 on the Noometry Index. Gemma 3 27B costs 17× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 27B or Kimi K2.7 Code?

Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Gemma 3 27B or Kimi K2.7 Code better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 22.1 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 131K.

### How many benchmarks do Gemma 3 27B and Kimi K2.7 Code share?

6 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and Kimi K2.7 Code has 19.