Model comparison
Hunyuan Large Vision vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 37.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
Tencent
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Hunyuan Large Vision scores higher in 1 category and Qwen3.7 Plus in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 33.7.
Side by side
| Hunyuan Large Vision | Qwen3.7 Plus | |
|---|---|---|
| Provider | Tencent | Alibaba (Qwen) |
| Noometry Index | 37.0 | 45.0 |
| Released | — | 2026-06-02 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $1.60 |
| Results tracked | 13 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Hunyuan Large Vision leads
Hunyuan Large Vision: 37.6 (#176), Qwen3.7 Plus: 36.1 (#200)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1307 | 1473 |
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
Agentic & Tool Use Not comparable
Hunyuan Large Vision: —, Qwen3.7 Plus: 21.2 (#130)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
Reasoning Qwen3.7 Plus leads
Hunyuan Large Vision: 23.8 (#160), Qwen3.7 Plus: 38.4 (#54)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1460 |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 147.39 |
Math Qwen3.7 Plus leads
Hunyuan Large Vision: 32.8 (#184), Qwen3.7 Plus: 49.3 (#47)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| LMArena Math | 1269 | 1467 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
Knowledge Qwen3.7 Plus leads
Hunyuan Large Vision: 33.7 (#191), Qwen3.7 Plus: 54.9 (#46)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| LMArena Expert | 1250 | 1467 |
| GPQA Diamond | — | 87.9% |
Multimodal Qwen3.7 Plus leads
Hunyuan Large Vision: 35.1 (#79), Qwen3.7 Plus: 41.2 (#30)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | 1180 | 1281 |
| LMArena Document | — | 1444 |
Multilingual Qwen3.7 Plus leads
Hunyuan Large Vision: 40.1 (#216), Qwen3.7 Plus: 55.0 (#36)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1236 | 1445 |
| LMArena Chinese | 1289 | 1510 |
| LMArena Russian | 1243 | 1457 |
| LMArena French | — | 1471 |
| LMArena German | — | 1471 |
| LMArena Japanese | — | 1411 |
| LMArena Korean | — | 1416 |
| LMArena Spanish | — | 1453 |
Instruction Following Qwen3.7 Plus leads
Hunyuan Large Vision: 66.0 (#210), Qwen3.7 Plus: 75.9 (#49)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1250 | 1439 |
Long Context Qwen3.7 Plus leads
Hunyuan Large Vision: 38.8 (#184), Qwen3.7 Plus: 44.5 (#61)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1279 | 1454 |
Writing & Preference Qwen3.7 Plus leads
Hunyuan Large Vision: 46.7 (#211), Qwen3.7 Plus: 64.5 (#54)
| Benchmark | Hunyuan Large Vision | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1263 | 1454 |
| LMArena Creative Writing | 1250 | 1439 |
| LMArena Multi-Turn | 1253 | 1459 |
Frequently asked questions
Is Hunyuan Large Vision better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 37.0 on the Noometry Index.
Is Hunyuan Large Vision or Qwen3.7 Plus better for coding?
Hunyuan Large Vision scores higher on coding benchmarks: 37.6 versus 36.1 in the Noometry coding category.
How many benchmarks do Hunyuan Large Vision and Qwen3.7 Plus share?
13 benchmarks have published results for both models. Hunyuan Large Vision has 13 scored results on Noometry and Qwen3.7 Plus has 32.