# Grok 4.6 vs Kimi K2.7 Code

> Grok 4.6 is the stronger model overall, scoring 56.9 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 1.8× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/grok-4-6-vs-kimi-k2-7-code
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Grok 4.6 scores higher in 5 categories and Kimi K2.7 Code in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.6 leads 61.4 to 39.0.
- The biggest single-benchmark swing is DeepSWE: 67.5% for Grok 4.6 and 30.5% for Kimi K2.7 Code.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $6 for Grok 4.6.
- Grok 4.6 accepts more context: 500K tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| Provider | xAI | Moonshot AI |
| Noometry Index | 56.9 | 43.3 |
| Rank | 21 | 94 |
| Context | 500K | 262K |
| Input $/M | $2 | $0.95 |
| Output $/M | $6 | $4 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.6: 58.5 (#16)
- Kimi K2.7 Code: 42.9 (#95)

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | 67.5% | 30.5% |
| FrontierCode | 48% | 30.1% |
| LMArena WebDev | 1617 | 1473 |
| SciCode | 56.5% | 47.5% |
| WeirdML | 67.3% | 54.1% |
| ALE-Bench | 1,508 | 886.23 |
| CursorBench | 41.4% | — |
| FrontierSWE | 25.3% | — |
| LMArena Coding | 1465 | — |

## Agentic & Tool Use

- Grok 4.6: 39.4 (#27)
- Kimi K2.7 Code: 24.0 (#122)

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | 65.3% | 37.6% |
| Vending-Bench 2 | 9,047 | 5,083 |
| GBAEval | — | 0.9% |
| GDP.pdf | 17.2% | — |

## Reasoning

- Grok 4.6: 61.4 (#20)
- Kimi K2.7 Code: 39.0 (#61)

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 75.9% | 57.9% |
| CritPt | 19.7% | 10% |
| Chess Puzzles | 40% | 21% |
| Epoch Capabilities Index | 156.44 | 149.97 |
| ARC-AGI-2 | 67.1% | — |
| NYT Connections (extended) | 80% | — |
| ARC-AGI-1 | 87.5% | — |
| EBR-Bench | 30.5% | — |
| LMArena Hard Prompts | 1447 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.3% | — |
| LMCA | 48.5% | — |
| Surface Evolver Bench | — | 48.8% |

## Math

- Grok 4.6: 67.0 (#24)
- Kimi K2.7 Code: 52.9 (#48)

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 66% | 54% |
| FrontierMath Tier 4 | 31.7% | 12.2% |
| OTIS Mock AIME 2024-2025 | 99.2% | 95.6% |
| ProofBench | 51% | — |
| LMArena Math | 1423 | — |

## Knowledge

- Grok 4.6: 63.3 (#20)
- Kimi K2.7 Code: 53.5 (#57)

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 94% | 87.9% |
| SimpleQA Verified | 49.3% | 36.5% |
| LMArena Expert | 1467 | — |

## Multimodal

- Grok 4.6: 43.6 (#23)
- Kimi K2.7 Code: —

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 33.2% | — |
| Furniture Assembly | 40% | — |
| LMArena Document | 1452 | — |

## Multilingual

- Grok 4.6: 53.0 (#74)
- Kimi K2.7 Code: —

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1480 | — |
| LMArena French | 1461 | — |
| LMArena German | 1431 | — |
| LMArena Japanese | 1376 | — |
| LMArena Korean | 1397 | — |
| LMArena Russian | 1422 | — |
| LMArena Spanish | 1404 | — |

## Instruction Following

- Grok 4.6: 75.4 (#63)
- Kimi K2.7 Code: —

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1431 | — |

## Long Context

- Grok 4.6: 44.5 (#66)
- Kimi K2.7 Code: —

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1454 | — |

## Writing & Preference

- Grok 4.6: 62.3 (#80)
- Kimi K2.7 Code: —

| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1428 | — |
| LMArena Creative Writing | 1428 | — |
| LMArena Multi-Turn | 1425 | — |

## FAQ

### Is Grok 4.6 better than Kimi K2.7 Code?

Grok 4.6 is the stronger model overall, scoring 56.9 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 1.8× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.

### Which is cheaper, Grok 4.6 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; Grok 4.6 lists at $2 and $6.

### Is Grok 4.6 or Kimi K2.7 Code better for coding?

Grok 4.6 scores higher on coding benchmarks: 58.5 versus 42.9 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.6 does, with 500K tokens against 262K.

### How many benchmarks do Grok 4.6 and Kimi K2.7 Code share?

17 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Kimi K2.7 Code has 19.