# DeepSeek-V3.1-Terminus vs Hy3

> Hy3 is the stronger model overall, scoring 44.2 to 43.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-hy3
- 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 1 category and Hy3 in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where Hy3 leads 46.8 to 42.0.
- Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.27 / $1 for DeepSeek-V3.1-Terminus.
- Hy3 accepts more context: 262K tokens versus 164K.

## Snapshot

| | DeepSeek-V3.1-Terminus | Hy3 |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Noometry Index | 43.1 | 44.2 |
| Rank | 97 | 79 |
| Context | 164K | 262K |
| Input $/M | $0.27 | $0.0825 |
| Output $/M | $1 | $0.33 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Hy3: 46.8 (#63)

| Benchmark | DeepSeek-V3.1-Terminus | Hy3 |
|---|---|---|
| LMArena Coding | 1426 | 1464 |
| LMArena WebDev | — | 1508 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Hy3: 26.1 (#136)

| Benchmark | DeepSeek-V3.1-Terminus | Hy3 |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1447 |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 41.2% |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Hy3: 40.1 (#93)

| Benchmark | DeepSeek-V3.1-Terminus | Hy3 |
|---|---|---|
| LMArena Math | 1402 | 1475 |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Hy3: 40.8 (#114)

| Benchmark | DeepSeek-V3.1-Terminus | Hy3 |
|---|---|---|
| LMArena Expert | — | 1460 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Hy3: 53.5 (#65)

| Benchmark | DeepSeek-V3.1-Terminus | Hy3 |
|---|---|---|
| LMArena Non-English | 1407 | 1426 |
| LMArena Russian | 1436 | 1432 |
| LMArena Chinese | — | 1493 |
| LMArena French | — | 1461 |
| LMArena German | — | 1439 |
| LMArena Japanese | — | 1392 |
| LMArena Korean | — | 1395 |
| LMArena Spanish | — | 1456 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Hy3: 75.1 (#70)

| Benchmark | DeepSeek-V3.1-Terminus | Hy3 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1426 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Hy3: 44.1 (#75)

| Benchmark | DeepSeek-V3.1-Terminus | Hy3 |
|---|---|---|
| LMArena Longer Query | 1421 | 1442 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Hy3: 62.2 (#81)

| Benchmark | DeepSeek-V3.1-Terminus | Hy3 |
|---|---|---|
| LMArena Text | 1419 | 1439 |
| LMArena Creative Writing | 1403 | 1402 |
| LMArena Multi-Turn | 1411 | 1436 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Hy3?

Hy3 is the stronger model overall, scoring 44.2 to 43.1 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.1-Terminus or Hy3?

Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.27 and $1.

### Is DeepSeek-V3.1-Terminus or Hy3 better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 42.0 in the Noometry coding category.

### Which has the bigger context window?

Hy3 does, with 262K tokens against 164K.

### How many benchmarks do DeepSeek-V3.1-Terminus and Hy3 share?

10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Hy3 has 19.