# DeepSeek-V3.1-Terminus vs Hunyuan Large 2025 02 10

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-hunyuan-large
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Hunyuan Large 2025 02 10 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 48.7.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Noometry Index | 43.1 | 38.6 |
| Rank | 97 | 184 |
| Context | 164K | — |
| Input $/M | $0.27 | — |
| Output $/M | $1 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Hunyuan Large 2025 02 10: 38.2 (#181)

| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Coding | 1426 | 1307 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Hunyuan Large 2025 02 10: 25.5 (#148)

| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1286 |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Hunyuan Large 2025 02 10: 35.8 (#178)

| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Math | 1402 | 1281 |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Hunyuan Large 2025 02 10: 35.1 (#188)

| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Expert | — | 1276 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Hunyuan Large 2025 02 10: 42.0 (#200)

| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Non-English | 1407 | 1265 |
| LMArena Russian | 1436 | 1266 |
| LMArena Chinese | — | 1346 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Hunyuan Large 2025 02 10: 67.3 (#197)

| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1277 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Hunyuan Large 2025 02 10: 40.8 (#149)

| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Longer Query | 1421 | 1341 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Hunyuan Large 2025 02 10: 48.7 (#197)

| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Text | 1419 | 1288 |
| LMArena Creative Writing | 1403 | 1264 |
| LMArena Multi-Turn | 1411 | 1284 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Hunyuan Large 2025 02 10?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index.

### Is DeepSeek-V3.1-Terminus or Hunyuan Large 2025 02 10 better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 38.2 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1-Terminus and Hunyuan Large 2025 02 10 share?

10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Hunyuan Large 2025 02 10 has 12.