# Kimi K2.7 Code vs Qwen3.5-Flash

> Kimi K2.7 Code and Qwen3.5-Flash score almost the same on the Noometry Index (43.0 vs 42.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-qwen3-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Qwen3.5-Flash in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.6 to 36.3.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 54% for Kimi K2.7 Code and 18.2% for Qwen3.5-Flash.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Qwen3.5-Flash accepts more context: 1M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.0 | 42.3 |
| Rank | 90 | 105 |
| Context | 262K | 1M |
| Input $/M | $0.95 | $0.10 |
| Output $/M | $4 | $0.40 |
| Weights | Open | Proprietary |

## Coding

- Kimi K2.7 Code: 42.4 (#92)
- Qwen3.5-Flash: 33.9 (#234)

| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | 1473 | 1243 |
| ALE-Bench | 886.23 | 221.8 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1412 |

## Agentic & Tool Use

- Kimi K2.7 Code: 23.9 (#115)
- Qwen3.5-Flash: —

| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | 5,083 | 462.69 |
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |

## Reasoning

- Kimi K2.7 Code: 38.2 (#56)
- Qwen3.5-Flash: 32.9 (#63)

| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 21% | 21% |
| Epoch Capabilities Index | 150.01 | 143.98 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| LMArena Hard Prompts | — | 1404 |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| Surface Evolver Bench | 48.8% | — |

## Math

- Kimi K2.7 Code: 52.6 (#39)
- Qwen3.5-Flash: 36.3 (#117)

| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | 18.2% |
| OTIS Mock AIME 2024-2025 | 95.6% | 84.4% |
| FrontierMath Tier 4 | 12.2% | — |
| LMArena Math | — | 1407 |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Kimi K2.7 Code: 53.6 (#51)
- Qwen3.5-Flash: 43.2 (#84)

| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 87.9% | 82.3% |
| SimpleQA Verified | 36.5% | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |

## Multilingual

- Kimi K2.7 Code: —
- Qwen3.5-Flash: 50.7 (#116)

| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | — | 1385 |
| LMArena Chinese | — | 1446 |
| LMArena French | — | 1412 |
| LMArena German | — | 1389 |
| LMArena Japanese | — | 1369 |
| LMArena Korean | — | 1344 |
| LMArena Russian | — | 1379 |
| LMArena Spanish | — | 1399 |

## Instruction Following

- Kimi K2.7 Code: —
- Qwen3.5-Flash: 72.8 (#133)

| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1374 |

## Long Context

- Kimi K2.7 Code: —
- Qwen3.5-Flash: 42.4 (#119)

| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | — | 1392 |

## Writing & Preference

- Kimi K2.7 Code: —
- Qwen3.5-Flash: 58.2 (#117)

| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | — | 1397 |
| LMArena Creative Writing | — | 1343 |
| LMArena Multi-Turn | — | 1393 |

## FAQ

### Is Kimi K2.7 Code better than Qwen3.5-Flash?

Kimi K2.7 Code and Qwen3.5-Flash score almost the same on the Noometry Index (43.0 vs 42.3), so choose on price, context window or the category you care about most.

### Which is cheaper, Kimi K2.7 Code or Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Kimi K2.7 Code or Qwen3.5-Flash better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 33.9 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 262K.

### How many benchmarks do Kimi K2.7 Code and Qwen3.5-Flash share?

9 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3.5-Flash has 32.