# Kimi K2.7 Code vs Qwen3.6 35B-A3B

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 37.6 on the Noometry Index. Qwen3.6 35B-A3B costs 3.1× 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-qwen3-6-35b-a3b
- 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 5 categories and Qwen3.6 35B-A3B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 38.9.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 54% for Kimi K2.7 Code and 20.4% for Qwen3.6 35B-A3B.
- Qwen3.6 35B-A3B is cheaper at $0.25 / $1.49 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.

## Snapshot

| | Kimi K2.7 Code | Qwen3.6 35B-A3B |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 37.6 |
| Rank | 94 | 201 |
| Context | 262K | 262K |
| Input $/M | $0.95 | $0.25 |
| Output $/M | $4 | $1.49 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Qwen3.6 35B-A3B: 37.2 (#196)

| Benchmark | Kimi K2.7 Code | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | 47.5% | 35.8% |
| WeirdML | 54.1% | 34.5% |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| ALE-Bench | 886.23 | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Qwen3.6 35B-A3B: 22.1 (#134)

| Benchmark | Kimi K2.7 Code | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Qwen3.6 35B-A3B: 28.0 (#109)

| Benchmark | Kimi K2.7 Code | Qwen3.6 35B-A3B |
|---|---|---|
| CritPt | 10% | 0.3% |
| Chess Puzzles | 21% | 26% |
| Surface Evolver Bench | 48.8% | 44.4% |
| Epoch Capabilities Index | 149.97 | 143.93 |
| SimpleBench | 57.9% | — |
| NYT Connections (extended) | — | 41.6% |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Qwen3.6 35B-A3B: 38.9 (#121)

| Benchmark | Kimi K2.7 Code | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | 20.4% |
| OTIS Mock AIME 2024-2025 | 95.6% | 86.7% |
| FrontierMath Tier 4 | 12.2% | — |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Qwen3.6 35B-A3B: 51.3 (#68)

| Benchmark | Kimi K2.7 Code | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | 87.9% | 84.8% |
| SimpleQA Verified | 36.5% | — |

## FAQ

### Is Kimi K2.7 Code better than Qwen3.6 35B-A3B?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 37.6 on the Noometry Index. Qwen3.6 35B-A3B costs 3.1× 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 Qwen3.6 35B-A3B?

Qwen3.6 35B-A3B is cheaper. It lists at $0.25 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 Qwen3.6 35B-A3B better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 37.2 in the Noometry coding category.

### Which has the bigger context window?

Both accept 262K tokens.

### How many benchmarks do Kimi K2.7 Code and Qwen3.6 35B-A3B share?

9 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3.6 35B-A3B has 14.