Model comparison
Hunyuan Large Vision vs Kimi K2.6
Kimi K2.6 is the stronger model overall, scoring 47.7 to 37.6 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Hunyuan Large Vision scores higher in 1 category and Kimi K2.6 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2.6 leads 68.5 to 46.5.
- Kimi K2.6 has downloadable open weights; the other is API-only.
Side by side
| Hunyuan Large Vision | Kimi K2.6 | |
|---|---|---|
| Provider | Tencent | Moonshot AI |
| Noometry Index | 37.6 | 47.7 |
| Released | — | 2026-04-20 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.95 |
| Output $ / M tokens | — | $4 |
| Results tracked | 13 | 51 |
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Category by category
Coding Kimi K2.6 leads
Hunyuan Large Vision: 38.3 (#180), Kimi K2.6: 50.7 (#43)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| LMArena Coding | 1308 | 1488 |
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1509 |
| SciCode | — | 53.5% |
| WeirdML | — | 55.9% |
| ALE-Bench | — | 1,093 |
Agentic & Tool Use Not comparable
Hunyuan Large Vision: —, Kimi K2.6: 21.9 (#137)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| OSWorld 2.0 | — | 4.6% |
| ExploitBench | — | 18.4% |
| GBAEval | — | 0.9% |
| GDP.pdf | — | 12% |
| Vending-Bench 2 | — | 6,205 |
Reasoning Kimi K2.6 leads
Hunyuan Large Vision: 24.8 (#158), Kimi K2.6: 40.5 (#55)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1470 |
| NYT Connections (extended) | — | 87.2% |
| CritPt | — | 8% |
| Chess Puzzles | — | 26% |
| EBR-Bench | — | 2.4% |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 90.9% |
| LMCA | — | 37.3% |
| Epoch Capabilities Index | — | 151.05 |
Math Kimi K2.6 leads
Hunyuan Large Vision: 35.5 (#183), Kimi K2.6: 57.0 (#41)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| LMArena Math | 1268 | 1475 |
| 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% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Kimi K2.6 leads
Hunyuan Large Vision: 34.4 (#196), Kimi K2.6: 54.0 (#54)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| LMArena Expert | 1252 | 1491 |
| GPQA Diamond | — | 90.8% |
| SimpleQA Verified | — | 34.9% |
| Vectara Hallucination Rate | — | 10.8% |
Multimodal Hunyuan Large Vision leads
Hunyuan Large Vision: 35.7 (#83), Kimi K2.6: 31.6 (#103)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| LMArena Vision | 1180 | 1283 |
| Blueprint-Bench 2 | — | 3.9% |
| Furniture Assembly | — | 21.7% |
| LMArena Document | — | 1451 |
Multilingual Kimi K2.6 leads
Hunyuan Large Vision: 39.9 (#221), Kimi K2.6: 54.9 (#37)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| LMArena Non-English | 1236 | 1446 |
| LMArena Chinese | 1287 | 1521 |
| LMArena Russian | 1243 | 1446 |
| LMArena French | — | 1471 |
| LMArena German | — | 1450 |
| LMArena Japanese | — | 1443 |
| LMArena Korean | — | 1427 |
| LMArena Spanish | — | 1464 |
Instruction Following Kimi K2.6 leads
Hunyuan Large Vision: 65.8 (#215), Kimi K2.6: 76.3 (#43)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| LMArena Instruction Following | 1251 | 1451 |
Long Context Kimi K2.6 leads
Hunyuan Large Vision: 38.9 (#189), Kimi K2.6: 44.9 (#52)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| LMArena Longer Query | 1280 | 1468 |
Writing & Preference Kimi K2.6 leads
Hunyuan Large Vision: 46.5 (#218), Kimi K2.6: 68.5 (#26)
| Benchmark | Hunyuan Large Vision | Kimi K2.6 |
|---|---|---|
| LMArena Text | 1263 | 1455 |
| LMArena Creative Writing | 1248 | 1434 |
| LMArena Multi-Turn | 1254 | 1453 |
| EQ-Bench Creative Writing | — | 1725 |
| EQ-Bench 4 | — | 1202 |
Frequently asked questions
Is Hunyuan Large Vision better than Kimi K2.6?
Kimi K2.6 is the stronger model overall, scoring 47.7 to 37.6 on the Noometry Index.
Is Hunyuan Large Vision or Kimi K2.6 better for coding?
Kimi K2.6 scores higher on coding benchmarks: 50.7 versus 38.3 in the Noometry coding category.
How many benchmarks do Hunyuan Large Vision and Kimi K2.6 share?
13 benchmarks have published results for both models. Hunyuan Large Vision has 13 scored results on Noometry and Kimi K2.6 has 51.