Model comparison
Kimi K2.5 vs QwQ-32B
Kimi K2.5 is the stronger model overall, scoring 48.1 to 39.8 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Kimi K2.5 scores higher in 8 categories and QwQ-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 37.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 92.2% for Kimi K2.5 and 59.2% for QwQ-32B.
Side by side
| Kimi K2.5 | QwQ-32B | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 48.1 | 39.8 |
| Released | 2026-01-27 | 2024-11-28 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.45 | — |
| Output $ / M tokens | $2.25 | — |
| Results tracked | 51 | 36 |
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Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.8 (#53), QwQ-32B: 35.4 (#226)
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| LMArena Coding | 1474 | 1333 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| Aider Polyglot | — | 20.9% |
| LMArena WebDev | 1437 | — |
| SWE-bench Multilingual | 67.3% | — |
| SciCode | 49% | — |
| WeirdML | 45.6% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 821.65 | — |
Agentic & Tool Use Not comparable
Kimi K2.5: 34.2 (#48), QwQ-32B: —
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| OSWorld | 63.3% | — |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#80), QwQ-32B: 23.7 (#174)
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| Chess Puzzles | 12% | 5% |
| LMArena Hard Prompts | 1453 | 1325 |
| Epoch Capabilities Index | 148.03 | 137.6 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 78.5% | — |
| NYT Connections (extended) | 69.9% | — |
| ARC-AGI-1 | 65.3% | — |
| CritPt | 3.1% | — |
| EnigmaEval | 3.4% | — |
| Thematic Generalization | 69.4% | — |
| LiveBench Reasoning | — | 83.5% |
| LiveBench Data Analysis | — | 65% |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), QwQ-32B: 38.0 (#143)
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 92.2% | 59.2% |
| LMArena Math | 1470 | 1359 |
| MathArena Final-Answer Competitions | 62.3% | — |
| LiveBench Math | — | 77.8% |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#56), QwQ-32B: 37.2 (#158)
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| GPQA Diamond | 87.6% | 65.3% |
| LMArena Expert | 1466 | 1324 |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | 14.2% | — |
Multimodal Not comparable
Kimi K2.5: 41.1 (#39), QwQ-32B: —
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 53.9 (#53), QwQ-32B: 44.8 (#176)
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1433 | 1305 |
| LMArena Chinese | 1495 | 1378 |
| LMArena French | 1454 | 1336 |
| LMArena German | 1441 | 1313 |
| LMArena Japanese | 1421 | 1262 |
| LMArena Korean | 1410 | 1279 |
| LMArena Russian | 1435 | 1297 |
| LMArena Spanish | 1450 | 1354 |
Instruction Following Kimi K2.5 leads
Kimi K2.5: 75.3 (#64), QwQ-32B: 72.6 (#137)
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1431 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), QwQ-32B: 49.0 (#11)
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| Fiction.LiveBench | 86.1% | 83.3% |
| LMArena Longer Query | 1445 | 1308 |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.1 (#53), QwQ-32B: 50.6 (#180)
| Benchmark | Kimi K2.5 | QwQ-32B |
|---|---|---|
| LMArena Text | 1445 | 1329 |
| LMArena Creative Writing | 1423 | 1288 |
| EQ-Bench Creative Writing | 1579 | 1257 |
| LMArena Multi-Turn | 1444 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Kimi K2.5 better than QwQ-32B?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 39.8 on the Noometry Index.
Is Kimi K2.5 or QwQ-32B better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 35.4 in the Noometry coding category.
How many benchmarks do Kimi K2.5 and QwQ-32B share?
23 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and QwQ-32B has 36.