# Gemma 4 31B IT vs Kimi K3

> Kimi K3 is the stronger model overall, scoring 59.5 to 43.2 on the Noometry Index. Gemma 4 31B IT costs 39× 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-4-31b-it-vs-kimi-k3
- Last updated: 2026-10-10
- Shared benchmarks: 30

## Summary

- They share 30 benchmarks with published results for both. Gemma 4 31B IT scores higher in 1 category and Kimi K3 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K3 leads 63.0 to 26.4.
- The biggest single-benchmark swing is Surface Evolver Bench: 30.6% for Gemma 4 31B IT and 95% for Kimi K3.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $3 / $15 for Kimi K3.
- Kimi K3 accepts more context: 1.05M tokens versus 262K.

## Snapshot

| | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| Provider | Google | Moonshot AI |
| Noometry Index | 43.2 | 59.5 |
| Rank | 85 | 12 |
| Context | 262K | 1.05M |
| Input $/M | $0.09 | $3 |
| Output $/M | $0.34 | $15 |
| Weights | Open | Open |

## Coding

- Gemma 4 31B IT: 41.9 (#98)
- Kimi K3: 60.6 (#8)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| LMArena WebDev | 1364 | 1659 |
| SciCode | 43.4% | 59.5% |
| WeirdML | 52.3% | 82.6% |
| LMArena Coding | 1459 | 1509 |
| ALE-Bench | 925.5 | 1,524 |
| DeepSWE | — | 68.5% |
| FrontierCode | — | 44.2% |
| FrontierSWE | — | 25.9% |

## Agentic & Tool Use

- Gemma 4 31B IT: —
- Kimi K3: 41.8 (#19)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| APEX-Agents | — | 50.6% |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 32% |
| GBAEval | — | 48.3% |
| GDP.pdf | — | 19% |
| Vending-Bench 2 | — | 5,165 |

## Reasoning

- Gemma 4 31B IT: 26.4 (#119)
- Kimi K3: 63.0 (#15)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| NYT Connections (extended) | 70.6% | 93.6% |
| CritPt | 1.4% | 23.4% |
| Chess Puzzles | 5% | 39% |
| LMArena Hard Prompts | 1448 | 1495 |
| DTBench | 82.7% | 91.2% |
| LMCA | 39.3% | 52.7% |
| Surface Evolver Bench | 30.6% | 95% |
| Epoch Capabilities Index | 142.74 | 157.68 |
| ARC-AGI-2 | — | 60.4% |
| SimpleBench | — | 60.7% |
| Kagi LLM Benchmark | 63.5% | — |
| ARC-AGI-1 | — | 94.5% |
| Thematic Generalization | 53% | — |
| Mystery Game Puzzles | — | 26% |
| ForecastBench | — | 61.1 |

## Math

- Gemma 4 31B IT: 41.3 (#72)
- Kimi K3: 74.0 (#13)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.3% | 97.2% |
| LMArena Math | 1464 | 1493 |
| FrontierMath (Tiers 1-3) | — | 72.2% |
| FrontierMath Tier 4 | — | 39% |
| MathArena Final-Answer Competitions | — | 87.8% |
| ProofBench | — | 87% |

## Knowledge

- Gemma 4 31B IT: 37.9 (#141)
- Kimi K3: 63.2 (#19)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| GPQA Diamond | 75.8% | 93.1% |
| SimpleQA Verified | 10.4% | 50.6% |
| LMArena Expert | 1465 | 1520 |
| Vectara Hallucination Rate | 7.4% | — |

## Multimodal

- Gemma 4 31B IT: 41.0 (#32)
- Kimi K3: 38.4 (#58)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| LMArena Vision | 1278 | — |
| Blueprint-Bench 2 | — | 29.5% |
| Furniture Assembly | — | 34.2% |
| LMArena Document | 1425 | — |

## Multilingual

- Gemma 4 31B IT: 54.0 (#52)
- Kimi K3: 56.5 (#20)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| LMArena Non-English | 1431 | 1466 |
| LMArena Chinese | 1478 | 1528 |
| LMArena French | 1436 | 1488 |
| LMArena Russian | 1462 | 1481 |
| LMArena Spanish | 1443 | 1478 |
| LMArena German | — | 1474 |
| LMArena Japanese | — | 1492 |
| LMArena Korean | — | 1465 |

## Instruction Following

- Gemma 4 31B IT: 75.6 (#58)
- Kimi K3: 77.8 (#13)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| LMArena Instruction Following | 1433 | 1481 |

## Long Context

- Gemma 4 31B IT: 44.2 (#67)
- Kimi K3: 45.8 (#27)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| LMArena Longer Query | 1446 | 1494 |

## Writing & Preference

- Gemma 4 31B IT: 60.7 (#92)
- Kimi K3: 76.7 (#4)

| Benchmark | Gemma 4 31B IT | Kimi K3 |
|---|---|---|
| LMArena Text | 1443 | 1476 |
| LMArena Creative Writing | 1416 | 1452 |
| EQ-Bench Creative Writing | 1368 | 2082 |
| EQ-Bench 4 | 1120 | 1339 |
| LMArena Multi-Turn | 1452 | 1488 |

## FAQ

### Is Gemma 4 31B IT better than Kimi K3?

Kimi K3 is the stronger model overall, scoring 59.5 to 43.2 on the Noometry Index. Gemma 4 31B IT costs 39× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.

### Which is cheaper, Gemma 4 31B IT or Kimi K3?

Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Kimi K3 lists at $3 and $15.

### Is Gemma 4 31B IT or Kimi K3 better for coding?

Kimi K3 scores higher on coding benchmarks: 60.6 versus 41.9 in the Noometry coding category.

### Which has the bigger context window?

Kimi K3 does, with 1.05M tokens against 262K.

### How many benchmarks do Gemma 4 31B IT and Kimi K3 share?

30 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Kimi K3 has 53.