Model comparison
Kimi K2.6 vs Qwen2.5-VL 72B Instruct
Kimi K2.6 is the stronger model overall, scoring 47.7 to 29.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Kimi K2.6 scores higher in 2 categories and Qwen2.5-VL 72B Instruct in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.6 leads 40.5 to 20.7.
- Kimi K2.6 is cheaper at $0.95 / $4 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- Kimi K2.6 accepts more context: 262K tokens versus 131K.
Side by side
| Kimi K2.6 | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 47.7 | 29.9 |
| Released | 2026-04-20 | 2024-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 262K | 8K |
| Input $ / M tokens | $0.95 | $2.80 |
| Output $ / M tokens | $4 | $8.40 |
| Results tracked | 51 | 6 |
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Category by category
Coding Not comparable
Kimi K2.6: 50.7 (#43), Qwen2.5-VL 72B Instruct: —
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| SWE-bench Verified | 76.7% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 53.5% | — |
| WeirdML | 55.9% | — |
| LMArena Coding | 1488 | — |
| ALE-Bench | 1,093 | — |
Agentic & Tool Use Kimi K2.6 leads
Kimi K2.6: 21.9 (#137), Qwen2.5-VL 72B Instruct: 18.6 (#144)
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld 2.0 | 4.6% | — |
| OSWorld | — | 5% |
| ExploitBench | 18.4% | — |
| GBAEval | 0.9% | — |
| GDP.pdf | 12% | — |
| Vending-Bench 2 | 6,205 | — |
Reasoning Kimi K2.6 leads
Kimi K2.6: 40.5 (#55), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| NYT Connections (extended) | 87.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 26% | — |
| EBR-Bench | 2.4% | — |
| LMArena Hard Prompts | 1470 | — |
| Mystery Game Puzzles | 18% | — |
| DTBench | 90.9% | — |
| LMCA | 37.3% | — |
| Epoch Capabilities Index | 151.05 | — |
Math Not comparable
Kimi K2.6: 57.0 (#41), Qwen2.5-VL 72B Instruct: —
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 25.6% | — |
| MathArena Final-Answer Competitions | 72.9% | — |
| OTIS Mock AIME 2024-2025 | 96.1% | — |
| ProofBench | 16% | — |
| LMArena Math | 1475 | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Not comparable
Kimi K2.6: 54.0 (#54), Qwen2.5-VL 72B Instruct: —
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| GPQA Diamond | 90.8% | — |
| SimpleQA Verified | 34.9% | — |
| Vectara Hallucination Rate | 10.8% | — |
| LMArena Expert | 1491 | — |
Multimodal Qwen2.5-VL 72B Instruct leads
Kimi K2.6: 31.6 (#103), Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | 1283 | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| Blueprint-Bench 2 | 3.9% | — |
| Furniture Assembly | 21.7% | — |
| LMArena Document | 1451 | — |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Kimi K2.6: 54.9 (#37), Qwen2.5-VL 72B Instruct: —
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Non-English | 1446 | — |
| LMArena Chinese | 1521 | — |
| LMArena French | 1471 | — |
| LMArena German | 1450 | — |
| LMArena Japanese | 1443 | — |
| LMArena Korean | 1427 | — |
| LMArena Russian | 1446 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Not comparable
Kimi K2.6: 76.3 (#43), Qwen2.5-VL 72B Instruct: —
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1451 | — |
Long Context Not comparable
Kimi K2.6: 44.9 (#52), Qwen2.5-VL 72B Instruct: —
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1468 | — |
Writing & Preference Not comparable
Kimi K2.6: 68.5 (#26), Qwen2.5-VL 72B Instruct: —
| Benchmark | Kimi K2.6 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1455 | — |
| LMArena Creative Writing | 1434 | — |
| EQ-Bench Creative Writing | 1725 | — |
| EQ-Bench 4 | 1202 | — |
| LMArena Multi-Turn | 1453 | — |
Frequently asked questions
Is Kimi K2.6 better than Qwen2.5-VL 72B Instruct?
Kimi K2.6 is the stronger model overall, scoring 47.7 to 29.9 on the Noometry Index.
Which is cheaper, Kimi K2.6 or Qwen2.5-VL 72B Instruct?
Kimi K2.6 is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
Which has the bigger context window?
Kimi K2.6 does, with 262K tokens against 131K.
How many benchmarks do Kimi K2.6 and Qwen2.5-VL 72B Instruct share?
1 benchmark has published results for both models. Kimi K2.6 has 51 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.