# DeepSeek-V3.1-Terminus vs Yi-Lightning

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 36.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-yi-lightning
- 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 Yi-Lightning in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V3.1-Terminus leads 41.5 to 27.0.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | Yi-Lightning |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 42.6 | 36.5 |
| Rank | 96 | 206 |
| Context | 164K | — |
| Input $/M | $0.30 | — |
| Output $/M | $1 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 41.5 (#114)
- Yi-Lightning: 27.0 (#315)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1426 | 1313 |
| Aider Polyglot | — | 12.9% |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 25.7 (#126)
- Yi-Lightning: 24.9 (#137)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1427 | 1302 |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |

## Math

- DeepSeek-V3.1-Terminus: 35.7 (#138)
- Yi-Lightning: 33.5 (#173)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-Lightning |
|---|---|---|
| LMArena Math | 1402 | 1300 |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Yi-Lightning: 34.8 (#182)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-Lightning |
|---|---|---|
| LMArena Expert | — | 1286 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.3 (#87)
- Yi-Lightning: 42.4 (#191)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1407 | 1269 |
| LMArena Russian | 1434 | 1255 |
| LMArena Chinese | — | 1320 |
| LMArena French | — | 1304 |
| LMArena German | — | 1267 |
| LMArena Japanese | — | 1228 |
| LMArena Korean | — | 1192 |
| LMArena Spanish | — | 1315 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.4 (#96)
- Yi-Lightning: 67.6 (#191)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1406 | 1278 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.5 (#88)
- Yi-Lightning: 39.4 (#176)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1426 | 1297 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.3 (#87)
- Yi-Lightning: 50.4 (#178)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-Lightning |
|---|---|---|
| LMArena Text | 1420 | 1302 |
| LMArena Creative Writing | 1404 | 1280 |
| LMArena Multi-Turn | 1411 | 1311 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Yi-Lightning?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 36.5 on the Noometry Index.

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

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 41.5 versus 27.0 in the Noometry coding category.

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

10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Yi-Lightning has 18.