# Kimi K2 (Jul 2025) vs Qwen3-Next 80B-A3B Instruct

> Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 41.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-vs-qwen3-next-80b-a3b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 4 categories and Qwen3-Next 80B-A3B Instruct in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 31.1 to 23.3.
- The biggest single-benchmark swing is Omni-MATH: 65.4% for Kimi K2 (Jul 2025) and 46.7% for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) accepts more context: 262K tokens versus 131K.

## Snapshot

| | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 41.2 | 43.0 |
| Rank | 140 | 102 |
| Context | 262K | 131K |
| Input $/M | $0.57 | $0.50 |
| Output $/M | $2.30 | $2 |
| Weights | Open | Open |

## Coding

- Kimi K2 (Jul 2025): 42.4 (#102)
- Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1399 | 1440 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| ALE-Bench | 597.5 | — |

## Agentic & Tool Use

- Kimi K2 (Jul 2025): 32.4 (#64)
- Qwen3-Next 80B-A3B Instruct: —

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |

## Reasoning

- Kimi K2 (Jul 2025): 23.3 (#179)
- Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 64.4% | 66.7% |
| LMArena Hard Prompts | 1384 | 1428 |
| SimpleBench | 26.3% | — |
| Epoch Capabilities Index | 146.01 | — |
| ForecastBench | 60.2 | — |

## Math

- Kimi K2 (Jul 2025): 42.7 (#83)
- Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | 65.4% | 46.7% |
| LMArena Math | 1397 | 1440 |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- Kimi K2 (Jul 2025): 37.3 (#157)
- Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | 81.9% | 78.6% |
| Vectara Hallucination Rate | 17.9% | 9.3% |
| GPQA (HELM) | 65.3% | 63% |
| LMArena Expert | 1365 | 1417 |
| Confabulations | 20.4% | — |

## Multilingual

- Kimi K2 (Jul 2025): 49.6 (#130)
- Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1372 | 1407 |
| LMArena Chinese | 1415 | 1460 |
| LMArena French | 1379 | 1413 |
| LMArena German | 1387 | 1417 |
| LMArena Japanese | 1349 | 1395 |
| LMArena Korean | 1325 | 1364 |
| LMArena Russian | 1385 | 1404 |
| LMArena Spanish | 1386 | 1435 |

## Instruction Following

- Kimi K2 (Jul 2025): 71.1 (#156)
- Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | 85% | 81% |
| LMArena Instruction Following | 1348 | 1389 |

## Long Context

- Kimi K2 (Jul 2025): 41.2 (#145)
- Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | 66.7% | 55.6% |
| LMArena Longer Query | 1353 | 1403 |
| CL-bench | 17.6% | — |

## Writing & Preference

- Kimi K2 (Jul 2025): 62.3 (#78)
- Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1380 | 1417 |
| LMArena Creative Writing | 1350 | 1334 |
| WildBench | 86.2% | 80.7% |
| LMArena Multi-Turn | 1371 | 1416 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |

## FAQ

### Is Kimi K2 (Jul 2025) better than Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 41.2 on the Noometry Index.

### Which is cheaper, Kimi K2 (Jul 2025) or Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.

### Is Kimi K2 (Jul 2025) or Qwen3-Next 80B-A3B Instruct better for coding?

They score almost the same on coding (42.4 vs 42.5); test both on your own repository before choosing.

### Which has the bigger context window?

Kimi K2 (Jul 2025) does, with 262K tokens against 131K.

### How many benchmarks do Kimi K2 (Jul 2025) and Qwen3-Next 80B-A3B Instruct share?

25 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.