Model comparison
DeepSeek-V3.1 vs Hunyuan Vision 1.5
DeepSeek-V3.1 and Hunyuan Vision 1.5 score almost the same on the Noometry Index (42.8 vs 43.1), so choose on price, context window or the category you care about most.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 3 categories and Hunyuan Vision 1.5 in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where Hunyuan Vision 1.5 leads 42.9 to 36.3.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1 | Hunyuan Vision 1.5 | |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Noometry Index | 42.8 | 43.1 |
| 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 | 9 |
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Category by category
Coding Hunyuan Vision 1.5 leads
DeepSeek-V3.1: 40.3 (#144), Hunyuan Vision 1.5: 41.8 (#119)
| Benchmark | DeepSeek-V3.1 | Hunyuan Vision 1.5 |
|---|---|---|
| LMArena Coding | 1417 | 1418 |
| WeirdML | 38.4% | — |
Reasoning Hunyuan Vision 1.5 leads
DeepSeek-V3.1: 27.9 (#110), Hunyuan Vision 1.5: 28.9 (#97)
| Benchmark | DeepSeek-V3.1 | Hunyuan Vision 1.5 |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1416 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |
Math Not comparable
DeepSeek-V3.1: 38.9 (#122), Hunyuan Vision 1.5: —
| Benchmark | DeepSeek-V3.1 | Hunyuan Vision 1.5 |
|---|---|---|
| LMArena Math | 1420 | — |
Knowledge Not comparable
DeepSeek-V3.1: 43.7 (#90), Hunyuan Vision 1.5: —
| Benchmark | DeepSeek-V3.1 | Hunyuan Vision 1.5 |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | — |
| LMArena Expert | 1405 | — |
Multimodal Not comparable
DeepSeek-V3.1: —, Hunyuan Vision 1.5: 35.7 (#84)
| Benchmark | DeepSeek-V3.1 | Hunyuan Vision 1.5 |
|---|---|---|
| LMArena Vision | — | 1180 |
Multilingual DeepSeek-V3.1 leads
DeepSeek-V3.1: 51.6 (#106), Hunyuan Vision 1.5: 50.3 (#125)
| Benchmark | DeepSeek-V3.1 | Hunyuan Vision 1.5 |
|---|---|---|
| LMArena Non-English | 1400 | 1382 |
| LMArena Chinese | 1469 | — |
| LMArena French | 1447 | — |
| LMArena German | 1411 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1337 | — |
| LMArena Russian | 1405 | — |
| LMArena Spanish | 1431 | — |
Instruction Following Too close to call
DeepSeek-V3.1: 73.9 (#110), Hunyuan Vision 1.5: 73.7 (#117)
| Benchmark | DeepSeek-V3.1 | Hunyuan Vision 1.5 |
|---|---|---|
| LMArena Instruction Following | 1400 | 1397 |
Long Context Hunyuan Vision 1.5 leads
DeepSeek-V3.1: 36.3 (#232), Hunyuan Vision 1.5: 42.9 (#115)
| Benchmark | DeepSeek-V3.1 | Hunyuan Vision 1.5 |
|---|---|---|
| LMArena Longer Query | 1422 | 1404 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference Too close to call
DeepSeek-V3.1: 60.3 (#98), Hunyuan Vision 1.5: 60.1 (#100)
| Benchmark | DeepSeek-V3.1 | Hunyuan Vision 1.5 |
|---|---|---|
| LMArena Text | 1420 | 1405 |
| LMArena Creative Writing | 1401 | 1388 |
| LMArena Multi-Turn | 1408 | 1422 |
| EQ-Bench Creative Writing | 1436 | — |
Frequently asked questions
Is DeepSeek-V3.1 better than Hunyuan Vision 1.5?
DeepSeek-V3.1 and Hunyuan Vision 1.5 score almost the same on the Noometry Index (42.8 vs 43.1), so choose on price, context window or the category you care about most.
Is DeepSeek-V3.1 or Hunyuan Vision 1.5 better for coding?
Hunyuan Vision 1.5 scores higher on coding benchmarks: 41.8 versus 40.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1 and Hunyuan Vision 1.5 share?
8 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Hunyuan Vision 1.5 has 9.