# Claude Sonnet 4.6 vs Kimi K2.7 Code

> Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 3.5× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-sonnet-4-6-vs-kimi-k2-7-code
- Last updated: 2026-10-11
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 3 categories and Kimi K2.7 Code in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude Sonnet 4.6 leads 39.1 to 24.0.
- The biggest single-benchmark swing is GBAEval: 48.8% for Claude Sonnet 4.6 and 0.9% for Kimi K2.7 Code.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| Provider | Anthropic | Moonshot AI |
| Noometry Index | 50.3 | 43.3 |
| Rank | 50 | 94 |
| Context | 1M | 262K |
| Input $/M | $3 | $0.95 |
| Output $/M | $15 | $4 |
| Weights | Proprietary | Open |

## Coding

- Claude Sonnet 4.6: 46.3 (#67)
- Kimi K2.7 Code: 42.9 (#95)

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | 29.9% | 30.5% |
| FrontierCode | 24.3% | 30.1% |
| LMArena WebDev | 1522 | 1473 |
| SciCode | 46.8% | 47.5% |
| WeirdML | 66.1% | 54.1% |
| ALE-Bench | 1,327 | 886.23 |
| SWE-bench Verified | 75.2% | — |
| LMArena Coding | 1504 | — |

## Agentic & Tool Use

- Claude Sonnet 4.6: 39.1 (#28)
- Kimi K2.7 Code: 24.0 (#122)

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | 43% | 37.6% |
| GBAEval | 48.8% | 0.9% |
| Vending-Bench 2 | 7,204 | 5,083 |
| Terminal-Bench | 53.4% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |

## Reasoning

- Claude Sonnet 4.6: 46.1 (#45)
- Kimi K2.7 Code: 39.0 (#61)

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| CritPt | 3.1% | 10% |
| Chess Puzzles | 13% | 21% |
| Epoch Capabilities Index | 152.24 | 149.97 |
| ARC-AGI-2 | 60.4% | — |
| SimpleBench | — | 57.9% |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| Thematic Generalization | 76.3% | — |
| LMArena Hard Prompts | 1484 | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Surface Evolver Bench | — | 48.8% |
| ForecastBench | 62 | — |

## Math

- Claude Sonnet 4.6: 52.9 (#49)
- Kimi K2.7 Code: 52.9 (#48)

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| ProofBench | 45% | — |
| LMArena Math | 1462 | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |

## Knowledge

- Claude Sonnet 4.6: 51.7 (#65)
- Kimi K2.7 Code: 53.5 (#57)

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 87.4% | 87.9% |
| SimpleQA Verified | 35.5% | 36.5% |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |

## Multimodal

- Claude Sonnet 4.6: 38.0 (#68)
- Kimi K2.7 Code: —

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |

## Multilingual

- Claude Sonnet 4.6: 54.4 (#41)
- Kimi K2.7 Code: —

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1464 | — |

## Instruction Following

- Claude Sonnet 4.6: 77.4 (#25)
- Kimi K2.7 Code: —

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1475 | — |

## Long Context

- Claude Sonnet 4.6: 45.3 (#44)
- Kimi K2.7 Code: —

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1479 | — |

## Writing & Preference

- Claude Sonnet 4.6: 70.2 (#22)
- Kimi K2.7 Code: —

| Benchmark | Claude Sonnet 4.6 | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LMArena Multi-Turn | 1464 | — |

## FAQ

### Is Claude Sonnet 4.6 better than Kimi K2.7 Code?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 3.5× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

### Which is cheaper, Claude Sonnet 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; Claude Sonnet 4.6 lists at $3 and $15.

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

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 42.9 in the Noometry coding category.

### Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 262K.

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

15 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Kimi K2.7 Code has 19.