# Gemini 3.1 Pro Preview vs Kimi K2.7 Code

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.6× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-kimi-k2-7-code
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 4 categories and Kimi K2.7 Code in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 39.0.
- The biggest single-benchmark swing is SimpleQA Verified: 73.5% for Gemini 3.1 Pro Preview and 36.5% for Kimi K2.7 Code.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| Provider | Google | Moonshot AI |
| Noometry Index | 56.7 | 43.3 |
| Rank | 23 | 94 |
| Context | 1.05M | 262K |
| Input $/M | $2 | $0.95 |
| Output $/M | $12 | $4 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Pro Preview: 42.5 (#99)
- Kimi K2.7 Code: 42.9 (#95)

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | 11.7% | 30.5% |
| LMArena WebDev | 1447 | 1473 |
| SciCode | 58.9% | 47.5% |
| WeirdML | 72.1% | 54.1% |
| ALE-Bench | 1,161 | 886.23 |
| SWE-bench Verified | 75.6% | — |
| FrontierCode | — | 30.1% |
| GSO | 22.6% | — |
| LMArena Coding | 1484 | — |
| MirrorCode | 8.9% | — |
| AlgoTune | 2.02 | — |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#34)
- Kimi K2.7 Code: 24.0 (#122)

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | 35.3% | 37.6% |
| GBAEval | 0.8% | 0.9% |
| Vending-Bench 2 | 3,774 | 5,083 |
| Terminal-Bench | 80.2% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |

## Reasoning

- Gemini 3.1 Pro Preview: 71.7 (#12)
- Kimi K2.7 Code: 39.0 (#61)

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 79.6% | 57.9% |
| CritPt | 17.7% | 10% |
| Chess Puzzles | 55% | 21% |
| Epoch Capabilities Index | 154.77 | 149.97 |
| ARC-AGI-2 | 77.1% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1485 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| Surface Evolver Bench | — | 48.8% |
| ForecastBench | 59 | — |

## Math

- Gemini 3.1 Pro Preview: 62.1 (#34)
- Kimi K2.7 Code: 52.9 (#48)

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.6% | 54% |
| FrontierMath Tier 4 | 26.8% | 12.2% |
| OTIS Mock AIME 2024-2025 | 95.6% | 95.6% |
| MathArena Final-Answer Competitions | 86.5% | — |
| ProofBench | 26% | — |
| LMArena Math | 1485 | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- Kimi K2.7 Code: 53.5 (#57)

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 94.4% | 87.9% |
| SimpleQA Verified | 73.5% | 36.5% |
| Humanity's Last Exam | 46.4% | — |
| Vectara Hallucination Rate | 10.4% | — |
| LMArena Expert | 1485 | — |

## Multimodal

- Gemini 3.1 Pro Preview: 37.9 (#69)
- Kimi K2.7 Code: —

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.0 (#12)
- Kimi K2.7 Code: —

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1477 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1487 | — |
| LMArena German | 1491 | — |
| LMArena Japanese | 1493 | — |
| LMArena Korean | 1455 | — |
| LMArena Russian | 1498 | — |
| LMArena Spanish | 1479 | — |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.0 (#32)
- Kimi K2.7 Code: —

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1466 | — |

## Long Context

- Gemini 3.1 Pro Preview: 47.4 (#18)
- Kimi K2.7 Code: —

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
| LMArena Longer Query | 1483 | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.1 (#37)
- Kimi K2.7 Code: —

| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1481 | — |
| LMArena Creative Writing | 1482 | — |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |
| LMArena Multi-Turn | 1488 | — |

## FAQ

### Is Gemini 3.1 Pro Preview better than Kimi K2.7 Code?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.6× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.1 Pro Preview or Kimi K2.7 Code?

Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

### Is Gemini 3.1 Pro Preview or Kimi K2.7 Code better for coding?

They score almost the same on coding (42.5 vs 42.9); test both on your own repository before choosing.

### Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 262K.

### How many benchmarks do Gemini 3.1 Pro Preview and Kimi K2.7 Code share?

17 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Kimi K2.7 Code has 19.