# Gemma 3 27B vs Kimi K3

> Kimi K3 is the stronger model overall, scoring 59.5 to 30.5 on the Noometry Index. Gemma 3 27B costs 60× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-27b-vs-kimi-k3
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Gemma 3 27B scores higher in 0 categories and Kimi K3 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K3 leads 74.0 to 24.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 22.5% for Gemma 3 27B and 97.2% for Kimi K3.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $3 / $15 for Kimi K3.
- Kimi K3 accepts more context: 1.05M tokens versus 131K.

## Snapshot

| | Gemma 3 27B | Kimi K3 |
|---|---|---|
| Provider | Google | Moonshot AI |
| Noometry Index | 30.5 | 59.5 |
| Rank | 277 | 12 |
| Context | 131K | 1.05M |
| Input $/M | $0.08 | $3 |
| Output $/M | $0.16 | $15 |
| Weights | Open | Open |

## Coding

- Gemma 3 27B: 22.1 (#329)
- Kimi K3: 60.6 (#8)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| SciCode | 21.2% | 59.5% |
| LMArena Coding | 1322 | 1509 |
| DeepSWE | — | 68.5% |
| FrontierCode | — | 44.2% |
| Aider Polyglot | 4.9% | — |
| LMArena WebDev | — | 1659 |
| FrontierSWE | — | 25.9% |
| WeirdML | — | 82.6% |
| LiveBench Coding | 39.9% | — |
| ALE-Bench | — | 1,524 |

## Agentic & Tool Use

- Gemma 3 27B: 24.9 (#105)
- Kimi K3: 41.8 (#19)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| APEX-Agents | — | 50.6% |
| Berkeley Function Calling Leaderboard | 29.5% | — |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 32% |
| GBAEval | — | 48.3% |
| GDP.pdf | — | 19% |
| Vending-Bench 2 | — | 5,165 |

## Reasoning

- Gemma 3 27B: 16.3 (#297)
- Kimi K3: 63.0 (#15)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| CritPt | 0% | 23.4% |
| Chess Puzzles | 0% | 39% |
| LMArena Hard Prompts | 1340 | 1495 |
| DTBench | 52.5% | 91.2% |
| LMCA | 12.3% | 52.7% |
| Epoch Capabilities Index | 130.04 | 157.68 |
| ARC-AGI-2 | — | 60.4% |
| SimpleBench | — | 60.7% |
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 93.6% |
| ARC-AGI-1 | — | 94.5% |
| LiveBench Reasoning | 43.8% | — |
| Mystery Game Puzzles | — | 26% |
| LiveBench Data Analysis | 51.5% | — |
| Surface Evolver Bench | — | 95% |
| ForecastBench | — | 61.1 |
| LiveBench | 50% | — |

## Math

- Gemma 3 27B: 24.4 (#261)
- Kimi K3: 74.0 (#13)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | 97.2% |
| LMArena Math | 1312 | 1493 |
| FrontierMath (Tiers 1-3) | — | 72.2% |
| FrontierMath Tier 4 | — | 39% |
| MathArena Final-Answer Competitions | — | 87.8% |
| ProofBench | — | 87% |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |

## Knowledge

- Gemma 3 27B: 25.4 (#256)
- Kimi K3: 63.2 (#19)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| GPQA Diamond | 47.7% | 93.1% |
| LMArena Expert | 1303 | 1520 |
| SimpleQA Verified | — | 50.6% |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |

## Multimodal

- Gemma 3 27B: 32.0 (#94)
- Kimi K3: 38.4 (#58)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| LMArena Vision | 1165 | — |
| GeoBench | 52% | — |
| Blueprint-Bench 2 | — | 29.5% |
| Furniture Assembly | — | 34.2% |

## Multilingual

- Gemma 3 27B: 47.0 (#150)
- Kimi K3: 56.5 (#20)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| LMArena Non-English | 1334 | 1466 |
| LMArena Chinese | 1347 | 1528 |
| LMArena French | 1368 | 1488 |
| LMArena German | 1362 | 1474 |
| LMArena Japanese | 1287 | 1492 |
| LMArena Korean | 1308 | 1465 |
| LMArena Russian | 1349 | 1481 |
| LMArena Spanish | 1348 | 1478 |

## Instruction Following

- Gemma 3 27B: 70.8 (#155)
- Kimi K3: 77.8 (#13)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| LMArena Instruction Following | 1321 | 1481 |
| LiveBench Instruction Following | 74.9% | — |

## Long Context

- Gemma 3 27B: 27.6 (#288)
- Kimi K3: 45.8 (#27)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| LMArena Longer Query | 1333 | 1494 |
| Fiction.LiveBench | 33.3% | — |

## Writing & Preference

- Gemma 3 27B: 52.7 (#161)
- Kimi K3: 76.7 (#4)

| Benchmark | Gemma 3 27B | Kimi K3 |
|---|---|---|
| LMArena Text | 1358 | 1476 |
| LMArena Creative Writing | 1346 | 1452 |
| EQ-Bench Creative Writing | 1266 | 2082 |
| LMArena Multi-Turn | 1344 | 1488 |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench 4 | — | 1339 |
| LiveBench Language | 34.6% | — |

## FAQ

### Is Gemma 3 27B better than Kimi K3?

Kimi K3 is the stronger model overall, scoring 59.5 to 30.5 on the Noometry Index. Gemma 3 27B costs 60× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 27B or Kimi K3?

Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; Kimi K3 lists at $3 and $15.

### Is Gemma 3 27B or Kimi K3 better for coding?

Kimi K3 scores higher on coding benchmarks: 60.6 versus 22.1 in the Noometry coding category.

### Which has the bigger context window?

Kimi K3 does, with 1.05M tokens against 131K.

### How many benchmarks do Gemma 3 27B and Kimi K3 share?

26 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and Kimi K3 has 53.