Model comparison
Kimi K2 (Jul 2025) vs Qwen1.5-32B
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 8 categories and Qwen1.5-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.3 to 34.2.
Side by side
| Kimi K2 (Jul 2025) | Qwen1.5-32B | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 41.2 | 30.5 |
| Released | 2025-07-12 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.57 | — |
| Output $ / M tokens | $2.30 | — |
| Results tracked | 42 | 21 |
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Category by category
Coding Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.4 (#102), Qwen1.5-32B: 31.7 (#282)
| Benchmark | Kimi K2 (Jul 2025) | Qwen1.5-32B |
|---|---|---|
| LMArena Coding | 1399 | 1155 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| BigCodeBench Instruct | — | 32.3% |
| BigCodeBench Complete | — | 42% |
| ALE-Bench | 597.5 | — |
Agentic & Tool Use Not comparable
Kimi K2 (Jul 2025): 32.4 (#64), Qwen1.5-32B: —
| Benchmark | Kimi K2 (Jul 2025) | Qwen1.5-32B |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |
Reasoning Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 23.3 (#179), Qwen1.5-32B: 21.8 (#212)
| Benchmark | Kimi K2 (Jul 2025) | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1130 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| Epoch Capabilities Index | 146.01 | — |
| ForecastBench | 60.2 | — |
Math Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.7 (#83), Qwen1.5-32B: 33.0 (#207)
| Benchmark | Kimi K2 (Jul 2025) | Qwen1.5-32B |
|---|---|---|
| LMArena Math | 1397 | 1155 |
| Omni-MATH | 65.4% | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 37.3 (#157), Qwen1.5-32B: 13.5 (#296)
| Benchmark | Kimi K2 (Jul 2025) | Qwen1.5-32B |
|---|---|---|
| LMArena Expert | 1365 | 1126 |
| GPQA Diamond | — | 30.7% |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
| MMLU | — | 74.4% |
Multilingual Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 49.6 (#130), Qwen1.5-32B: 31.4 (#259)
| Benchmark | Kimi K2 (Jul 2025) | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | 1372 | 1106 |
| LMArena Chinese | 1415 | 1177 |
| LMArena French | 1379 | 1101 |
| LMArena German | 1387 | 1058 |
| LMArena Japanese | 1349 | 1027 |
| LMArena Korean | 1325 | 1008 |
| LMArena Russian | 1385 | 1073 |
| LMArena Spanish | 1386 | 1089 |
Instruction Following Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 71.1 (#156), Qwen1.5-32B: 57.7 (#265)
| Benchmark | Kimi K2 (Jul 2025) | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | 1348 | 1116 |
| IFEval | 85% | — |
Long Context Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 41.2 (#145), Qwen1.5-32B: 34.7 (#246)
| Benchmark | Kimi K2 (Jul 2025) | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | 1353 | 1146 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
Writing & Preference Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 62.3 (#78), Qwen1.5-32B: 34.2 (#271)
| Benchmark | Kimi K2 (Jul 2025) | Qwen1.5-32B |
|---|---|---|
| LMArena Text | 1380 | 1137 |
| LMArena Creative Writing | 1350 | 1083 |
| LMArena Multi-Turn | 1371 | 1140 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than Qwen1.5-32B?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.5 on the Noometry Index.
Is Kimi K2 (Jul 2025) or Qwen1.5-32B better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 31.7 in the Noometry coding category.
How many benchmarks do Kimi K2 (Jul 2025) and Qwen1.5-32B share?
17 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Qwen1.5-32B has 21.