Model comparison
DeepSeek-V3.1 vs Hunyuan Large Vision
DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 37.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
DeepSeek
TencentSummary
- They share 12 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Hunyuan Large Vision in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1 leads 60.5 to 46.7.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1 | Hunyuan Large Vision | |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Noometry Index | 42.2 | 37.0 |
| Released | 2025-08-21 | — |
| Weights | Open | Proprietary |
| Context window | 164K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.95 | — |
| Results tracked | 27 | 13 |
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Category by category
Coding DeepSeek-V3.1 leads
DeepSeek-V3.1: 39.8 (#140), Hunyuan Large Vision: 37.6 (#176)
| Benchmark | DeepSeek-V3.1 | Hunyuan Large Vision |
|---|---|---|
| LMArena Coding | 1417 | 1307 |
| WeirdML | 38.4% | — |
Reasoning DeepSeek-V3.1 leads
DeepSeek-V3.1: 27.3 (#109), Hunyuan Large Vision: 23.8 (#160)
| Benchmark | DeepSeek-V3.1 | Hunyuan Large Vision |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1257 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |
Math DeepSeek-V3.1 leads
DeepSeek-V3.1: 36.1 (#125), Hunyuan Large Vision: 32.8 (#184)
| Benchmark | DeepSeek-V3.1 | Hunyuan Large Vision |
|---|---|---|
| LMArena Math | 1420 | 1269 |
Knowledge DeepSeek-V3.1 leads
DeepSeek-V3.1: 43.0 (#86), Hunyuan Large Vision: 33.7 (#191)
| Benchmark | DeepSeek-V3.1 | Hunyuan Large Vision |
|---|---|---|
| LMArena Expert | 1403 | 1250 |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal Not comparable
DeepSeek-V3.1: —, Hunyuan Large Vision: 35.1 (#79)
| Benchmark | DeepSeek-V3.1 | Hunyuan Large Vision |
|---|---|---|
| LMArena Vision | — | 1180 |
Multilingual DeepSeek-V3.1 leads
DeepSeek-V3.1: 51.8 (#100), Hunyuan Large Vision: 40.1 (#216)
| Benchmark | DeepSeek-V3.1 | Hunyuan Large Vision |
|---|---|---|
| LMArena Non-English | 1400 | 1236 |
| LMArena Chinese | 1470 | 1289 |
| LMArena Russian | 1405 | 1243 |
| LMArena French | 1447 | — |
| LMArena German | 1412 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1337 | — |
| LMArena Spanish | 1429 | — |
Instruction Following DeepSeek-V3.1 leads
DeepSeek-V3.1: 74.1 (#105), Hunyuan Large Vision: 66.0 (#210)
| Benchmark | DeepSeek-V3.1 | Hunyuan Large Vision |
|---|---|---|
| LMArena Instruction Following | 1400 | 1250 |
Long Context Hunyuan Large Vision leads
DeepSeek-V3.1: 36.3 (#227), Hunyuan Large Vision: 38.8 (#184)
| Benchmark | DeepSeek-V3.1 | Hunyuan Large Vision |
|---|---|---|
| LMArena Longer Query | 1422 | 1279 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference DeepSeek-V3.1 leads
DeepSeek-V3.1: 60.5 (#93), Hunyuan Large Vision: 46.7 (#211)
| Benchmark | DeepSeek-V3.1 | Hunyuan Large Vision |
|---|---|---|
| LMArena Text | 1420 | 1263 |
| LMArena Creative Writing | 1401 | 1250 |
| LMArena Multi-Turn | 1408 | 1253 |
| EQ-Bench Creative Writing | 1436 | — |
Frequently asked questions
Is DeepSeek-V3.1 better than Hunyuan Large Vision?
DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 37.0 on the Noometry Index.
Is DeepSeek-V3.1 or Hunyuan Large Vision better for coding?
DeepSeek-V3.1 scores higher on coding benchmarks: 39.8 versus 37.6 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1 and Hunyuan Large Vision share?
12 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Hunyuan Large Vision has 13.