# Kimi K2.7 Code vs Qwen3.8 27B

> Qwen3.8 27B is the stronger model overall, scoring 46.0 to 43.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-qwen3-8-27b
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Kimi K2.7 Code scores higher in 2 categories and Qwen3.8 27B in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 37.1.
- The biggest single-benchmark swing is APEX-Agents: 37.6% for Kimi K2.7 Code and 47.5% for Qwen3.8 27B.
- Qwen3.8 27B is cheaper at $0.99 / $1.49 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.

## Snapshot

| | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 46.0 |
| Rank | 94 | 68 |
| Context | 262K | 262K |
| Input $/M | $0.95 | $0.99 |
| Output $/M | $4 | $1.49 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Qwen3.8 27B: 50.5 (#44)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| LMArena WebDev | 1473 | 1593 |
| SciCode | 47.5% | 46.6% |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1482 |
| ALE-Bench | 886.23 | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Qwen3.8 27B: 32.9 (#57)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | 37.6% | 47.5% |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Qwen3.8 27B: 41.0 (#54)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| CritPt | 10% | 5.4% |
| Surface Evolver Bench | 48.8% | 45% |
| Epoch Capabilities Index | 149.97 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| SimpleBench | 57.9% | — |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1460 |
| DTBench | — | 88% |
| LMCA | — | 41.4% |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Qwen3.8 27B: 37.1 (#161)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | — | 16% |
| LMArena Math | — | 1456 |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Qwen3.8 27B: 41.6 (#109)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1482 |

## Multimodal

- Kimi K2.7 Code: —
- Qwen3.8 27B: 41.3 (#37)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |

## Multilingual

- Kimi K2.7 Code: —
- Qwen3.8 27B: 53.7 (#60)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | — | 1430 |
| LMArena Chinese | — | 1504 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Russian | — | 1415 |
| LMArena Spanish | — | 1448 |

## Instruction Following

- Kimi K2.7 Code: —
- Qwen3.8 27B: 75.8 (#53)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | — | 1439 |

## Long Context

- Kimi K2.7 Code: —
- Qwen3.8 27B: 44.3 (#70)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | — | 1450 |

## Writing & Preference

- Kimi K2.7 Code: —
- Qwen3.8 27B: 65.8 (#43)

| Benchmark | Kimi K2.7 Code | Qwen3.8 27B |
|---|---|---|
| LMArena Text | — | 1441 |
| LMArena Creative Writing | — | 1384 |
| EQ-Bench Creative Writing | — | 1671 |
| LMArena Multi-Turn | — | 1441 |

## FAQ

### Is Kimi K2.7 Code better than Qwen3.8 27B?

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 43.3 on the Noometry Index.

### Which is cheaper, Kimi K2.7 Code or Qwen3.8 27B?

Qwen3.8 27B is cheaper. It lists at $0.99 per million input tokens and $1.49 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Kimi K2.7 Code or Qwen3.8 27B better for coding?

Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 42.9 in the Noometry coding category.

### Which has the bigger context window?

Both accept 262K tokens.

### How many benchmarks do Kimi K2.7 Code and Qwen3.8 27B share?

6 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3.8 27B has 31.