# Kimi K2.7 Code vs Qwen3 235B-A22B

> Kimi K2.7 Code and Qwen3 235B-A22B score almost the same on the Noometry Index (43.3 vs 43.5), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-qwen3-235b-a22b
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Kimi K2.7 Code scores higher in 3 categories and Qwen3 235B-A22B in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 15.7.
- The biggest single-benchmark swing is SimpleBench: 57.9% for Kimi K2.7 Code and 31% for Qwen3 235B-A22B.
- Qwen3 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 131K.

## Snapshot

| | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 43.5 |
| Rank | 94 | 91 |
| Context | 262K | 131K |
| Input $/M | $0.95 | $0.70 |
| Output $/M | $4 | $2.80 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Qwen3 235B-A22B: 44.3 (#75)

| Benchmark | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| SciCode | 47.5% | 42.4% |
| WeirdML | 54.1% | 41% |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| Aider Polyglot | — | 59.6% |
| LMArena WebDev | 1473 | — |
| LMArena Coding | — | 1445 |
| ALE-Bench | 886.23 | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Qwen3 235B-A22B: 33.9 (#51)

| Benchmark | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| Vending-Bench 2 | 5,083 | -11.34 |
| APEX-Agents | 37.6% | — |
| Berkeley Function Calling Leaderboard | — | 52.1% |
| GBAEval | 0.9% | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Qwen3 235B-A22B: 15.7 (#311)

| Benchmark | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| SimpleBench | 57.9% | 31% |
| CritPt | 10% | 0% |
| Chess Puzzles | 21% | 12% |
| Epoch Capabilities Index | 149.97 | 143.85 |
| ARC-AGI-2 | — | 1.3% |
| Kagi LLM Benchmark | — | 69.4% |
| ARC-AGI-1 | — | 11% |
| LMArena Hard Prompts | — | 1433 |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 80.3% |
| LMCA | — | 29.3% |
| Surface Evolver Bench | 48.8% | — |
| ForecastBench | — | 59.7 |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Qwen3 235B-A22B: 50.4 (#57)

| Benchmark | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 86.7% |
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| Omni-MATH | — | 71.8% |
| LMArena Math | — | 1432 |
| MATH Level 5 | — | 68.9% |
| FrontierMath (Feb 2025 set) | — | 8.5% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Qwen3 235B-A22B: 49.6 (#73)

| Benchmark | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| GPQA Diamond | 87.9% | 80.1% |
| SimpleQA Verified | 36.5% | 40.4% |
| MMLU-Pro | — | 84.4% |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 72.7% |
| LMArena Expert | — | 1463 |

## Multilingual

- Kimi K2.7 Code: —
- Qwen3 235B-A22B: 52.3 (#89)

| Benchmark | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | — | 1409 |
| LMArena Chinese | — | 1481 |
| LMArena French | — | 1445 |
| LMArena German | — | 1433 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1391 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1430 |

## Instruction Following

- Kimi K2.7 Code: —
- Qwen3 235B-A22B: 72.6 (#136)

| Benchmark | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| IFEval | — | 83.5% |
| LMArena Instruction Following | — | 1408 |

## Long Context

- Kimi K2.7 Code: —
- Qwen3 235B-A22B: 46.1 (#26)

| Benchmark | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| Fiction.LiveBench | — | 75% |
| LMArena Longer Query | — | 1426 |

## Writing & Preference

- Kimi K2.7 Code: —
- Qwen3 235B-A22B: 59.6 (#108)

| Benchmark | Kimi K2.7 Code | Qwen3 235B-A22B |
|---|---|---|
| LMArena Text | — | 1419 |
| LMArena Creative Writing | — | 1384 |
| Short-Story Creative Writing | — | 83% |
| EQ-Bench Creative Writing | — | 1366 |
| WildBench | — | 86.6% |
| LMArena Multi-Turn | — | 1432 |

## FAQ

### Is Kimi K2.7 Code better than Qwen3 235B-A22B?

Kimi K2.7 Code and Qwen3 235B-A22B score almost the same on the Noometry Index (43.3 vs 43.5), so choose on price, context window or the category you care about most.

### Which is cheaper, Kimi K2.7 Code or Qwen3 235B-A22B?

Qwen3 235B-A22B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Kimi K2.7 Code or Qwen3 235B-A22B better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 44.3 versus 42.9 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 131K.

### How many benchmarks do Kimi K2.7 Code and Qwen3 235B-A22B share?

10 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3 235B-A22B has 49.