Model comparison
Kimi K2.5 vs Qwen3.5 35B-A3B
Kimi K2.5 is the stronger model overall, scoring 48.1 to 42.0 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Kimi K2.5 scores higher in 8 categories and Qwen3.5 35B-A3B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Kimi K2.5 leads 48.8 to 33.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 92.2% for Kimi K2.5 and 70% for Qwen3.5 35B-A3B.
- Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $0.45 / $2.25 for Kimi K2.5.
Side by side
| Kimi K2.5 | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 48.1 | 42.0 |
| Released | 2026-01-27 | 2026-02-01 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.45 | $0.25 |
| Output $ / M tokens | $2.25 | $2 |
| Results tracked | 51 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.8 (#53), Qwen3.5 35B-A3B: 33.8 (#251)
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | 1437 | 1254 |
| SciCode | 49% | 29.3% |
| LMArena Coding | 1474 | 1410 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| SWE-bench Multilingual | 67.3% | — |
| WeirdML | 45.6% | — |
| ALE-Bench | 821.65 | — |
Agentic & Tool Use Not comparable
Kimi K2.5: 34.2 (#48), Qwen3.5 35B-A3B: —
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| OSWorld | 63.3% | — |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#80), Qwen3.5 35B-A3B: 24.6 (#161)
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| CritPt | 3.1% | 0.6% |
| Chess Puzzles | 12% | 10% |
| LMArena Hard Prompts | 1453 | 1400 |
| Epoch Capabilities Index | 148.03 | 142.52 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 78.5% | — |
| NYT Connections (extended) | 69.9% | — |
| ARC-AGI-1 | 65.3% | — |
| EnigmaEval | 3.4% | — |
| Thematic Generalization | 69.4% | — |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), Qwen3.5 35B-A3B: 39.9 (#97)
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | 62.3% | 56% |
| OTIS Mock AIME 2024-2025 | 92.2% | 70% |
| LMArena Math | 1470 | 1404 |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#56), Qwen3.5 35B-A3B: 47.8 (#79)
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | 87.6% | 83.5% |
| Vectara Hallucination Rate | 14.2% | 10.5% |
| LMArena Expert | 1466 | 1408 |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
Multimodal Not comparable
Kimi K2.5: 41.1 (#39), Qwen3.5 35B-A3B: —
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 53.9 (#53), Qwen3.5 35B-A3B: 50.0 (#127)
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | 1433 | 1378 |
| LMArena Chinese | 1495 | 1457 |
| LMArena French | 1454 | 1412 |
| LMArena German | 1441 | 1367 |
| LMArena Japanese | 1421 | 1325 |
| LMArena Korean | 1410 | 1356 |
| LMArena Russian | 1435 | 1376 |
| LMArena Spanish | 1450 | 1392 |
Instruction Following Kimi K2.5 leads
Kimi K2.5: 75.3 (#64), Qwen3.5 35B-A3B: 72.8 (#128)
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1431 | 1379 |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), Qwen3.5 35B-A3B: 42.4 (#127)
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1445 | 1389 |
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.1 (#53), Qwen3.5 35B-A3B: 57.9 (#124)
| Benchmark | Kimi K2.5 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | 1445 | 1395 |
| LMArena Creative Writing | 1423 | 1346 |
| LMArena Multi-Turn | 1444 | 1390 |
| EQ-Bench Creative Writing | 1579 | — |
Frequently asked questions
Is Kimi K2.5 better than Qwen3.5 35B-A3B?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 42.0 on the Noometry Index.
Which is cheaper, Kimi K2.5 or Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Kimi K2.5 lists at $0.45 and $2.25.
Is Kimi K2.5 or Qwen3.5 35B-A3B better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2.5 and Qwen3.5 35B-A3B share?
26 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Qwen3.5 35B-A3B has 28.