# Kimi K2 (Jul 2025) vs Qwen3-30B-A3B

> Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 4.7× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/kimi-k2-vs-qwen3-30b-a3b
- Last updated: 2026-10-12
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 7 categories and Qwen3-30B-A3B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Kimi K2 (Jul 2025) leads 41.2 to 31.0.
- The biggest single-benchmark swing is Fiction.LiveBench: 66.7% for Kimi K2 (Jul 2025) and 40.6% for Qwen3-30B-A3B.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 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 41K.

## Snapshot

| | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 41.2 | 38.9 |
| Rank | 140 | 179 |
| Context | 262K | 41K |
| Input $/M | $0.57 | $0.12 |
| Output $/M | $2.30 | $0.50 |
| Weights | Open | Open |

## Coding

- Kimi K2 (Jul 2025): 42.4 (#102)
- Qwen3-30B-A3B: 37.5 (#194)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| WeirdML | 42.8% | 29.8% |
| LMArena Coding | 1399 | 1416 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| SciCode | — | 33.3% |
| GSO | 4.9% | — |
| ALE-Bench | 597.5 | — |

## Agentic & Tool Use

- Kimi K2 (Jul 2025): 32.4 (#64)
- Qwen3-30B-A3B: 29.8 (#82)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 59.1% | 41.4% |
| Terminal-Bench | 35.7% | — |
| METR Time Horizons | 59.2% | — |

## Reasoning

- Kimi K2 (Jul 2025): 23.3 (#179)
- Qwen3-30B-A3B: 22.2 (#204)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 64.4% | 54.9% |
| LMArena Hard Prompts | 1384 | 1398 |
| Epoch Capabilities Index | 146.01 | 139.63 |
| SimpleBench | 26.3% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| ForecastBench | 60.2 | — |

## Math

- Kimi K2 (Jul 2025): 42.7 (#83)
- Qwen3-30B-A3B: 37.4 (#157)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1397 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| Omni-MATH | 65.4% | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- Kimi K2 (Jul 2025): 37.3 (#157)
- Qwen3-30B-A3B: 41.8 (#105)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| Confabulations | 20.4% | 12.3% |
| LMArena Expert | 1365 | 1396 |
| GPQA Diamond | — | 70.1% |
| MMLU-Pro | 81.9% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |

## Multilingual

- Kimi K2 (Jul 2025): 49.6 (#130)
- Qwen3-30B-A3B: 49.5 (#132)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1372 | 1372 |
| LMArena Chinese | 1415 | 1433 |
| LMArena French | 1379 | 1418 |
| LMArena German | 1387 | 1380 |
| LMArena Japanese | 1349 | 1337 |
| LMArena Korean | 1325 | 1331 |
| LMArena Russian | 1385 | 1370 |
| LMArena Spanish | 1386 | 1404 |

## Instruction Following

- Kimi K2 (Jul 2025): 71.1 (#156)
- Qwen3-30B-A3B: 72.0 (#142)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1348 | 1363 |
| IFEval | 85% | — |

## Long Context

- Kimi K2 (Jul 2025): 41.2 (#145)
- Qwen3-30B-A3B: 31.0 (#283)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | 66.7% | 40.6% |
| LMArena Longer Query | 1353 | 1379 |
| CL-bench | 17.6% | — |

## Writing & Preference

- Kimi K2 (Jul 2025): 62.3 (#78)
- Qwen3-30B-A3B: 55.6 (#143)

| Benchmark | Kimi K2 (Jul 2025) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1380 | 1384 |
| LMArena Creative Writing | 1350 | 1317 |
| Short-Story Creative Writing | 85.6% | 75.3% |
| LMArena Multi-Turn | 1371 | 1378 |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |

## FAQ

### Is Kimi K2 (Jul 2025) better than Qwen3-30B-A3B?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 4.7× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.

### Which is cheaper, Kimi K2 (Jul 2025) or Qwen3-30B-A3B?

Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.

### Is Kimi K2 (Jul 2025) or Qwen3-30B-A3B better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 37.5 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2 (Jul 2025) does, with 262K tokens against 41K.

### How many benchmarks do Kimi K2 (Jul 2025) and Qwen3-30B-A3B share?

24 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Qwen3-30B-A3B has 32.