# Kimi K2.7 Code vs Qwen3.5 27B

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 41.9 on the Noometry Index. Qwen3.5 27B costs 2.1× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-qwen3-5-27b
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Qwen3.5 27B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 38.0.
- The biggest single-benchmark swing is WeirdML: 54.1% for Kimi K2.7 Code and 39.5% for Qwen3.5 27B.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.

## Snapshot

| | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 41.9 |
| Rank | 94 | 127 |
| Context | 262K | 262K |
| Input $/M | $0.95 | $0.30 |
| Output $/M | $4 | $2.40 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Qwen3.5 27B: 38.9 (#168)

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| LMArena WebDev | 1473 | 1358 |
| WeirdML | 54.1% | 39.5% |
| ALE-Bench | 886.23 | 349.45 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SciCode | 47.5% | — |
| LMArena Coding | — | 1427 |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Qwen3.5 27B: —

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | 5,083 | 201.98 |
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Qwen3.5 27B: 27.5 (#117)

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| SimpleBench | 57.9% | — |
| NYT Connections (extended) | — | 47.9% |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| Thematic Generalization | — | 45.5% |
| LMArena Hard Prompts | — | 1414 |
| DTBench | — | 82.4% |
| LMCA | — | 34% |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Qwen3.5 27B: 38.8 (#127)

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| MathArena Final-Answer Competitions | — | 56.7% |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1429 |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Qwen3.5 27B: 38.0 (#150)

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| Vectara Hallucination Rate | — | 12.1% |
| LMArena Expert | — | 1428 |

## Multimodal

- Kimi K2.7 Code: —
- Qwen3.5 27B: 39.4 (#59)

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1241 |

## Multilingual

- Kimi K2.7 Code: —
- Qwen3.5 27B: 50.8 (#115)

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | — | 1390 |
| LMArena Chinese | — | 1478 |
| LMArena French | — | 1410 |
| LMArena German | — | 1393 |
| LMArena Japanese | — | 1345 |
| LMArena Korean | — | 1358 |
| LMArena Russian | — | 1390 |
| LMArena Spanish | — | 1407 |

## Instruction Following

- Kimi K2.7 Code: —
- Qwen3.5 27B: 73.5 (#119)

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | — | 1393 |

## Long Context

- Kimi K2.7 Code: —
- Qwen3.5 27B: 43.1 (#106)

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | — | 1413 |

## Writing & Preference

- Kimi K2.7 Code: —
- Qwen3.5 27B: 59.3 (#111)

| Benchmark | Kimi K2.7 Code | Qwen3.5 27B |
|---|---|---|
| LMArena Text | — | 1409 |
| LMArena Creative Writing | — | 1362 |
| LMArena Multi-Turn | — | 1410 |

## FAQ

### Is Kimi K2.7 Code better than Qwen3.5 27B?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 41.9 on the Noometry Index. Qwen3.5 27B costs 2.1× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

### Which is cheaper, Kimi K2.7 Code or Qwen3.5 27B?

Qwen3.5 27B is cheaper. It lists at $0.30 per million input tokens and $2.40 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Kimi K2.7 Code or Qwen3.5 27B better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 38.9 in the Noometry coding category.

### Which has the bigger context window?

Both accept 262K tokens.

### How many benchmarks do Kimi K2.7 Code and Qwen3.5 27B share?

4 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3.5 27B has 28.