# DeepSeek-V3.1 vs Yi-Lightning

> DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 37.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-yi-lightning
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Yi-Lightning in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V3.1 leads 40.3 to 27.4.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | Yi-Lightning |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 42.8 | 37.1 |
| Rank | 108 | 209 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Yi-Lightning: 27.4 (#320)

| Benchmark | DeepSeek-V3.1 | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1417 | 1312 |
| Aider Polyglot | — | 12.9% |
| WeirdML | 38.4% | — |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Yi-Lightning: 25.9 (#139)

| Benchmark | DeepSeek-V3.1 | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1302 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Yi-Lightning: 36.2 (#172)

| Benchmark | DeepSeek-V3.1 | Yi-Lightning |
|---|---|---|
| LMArena Math | 1420 | 1300 |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Yi-Lightning: 35.4 (#185)

| Benchmark | DeepSeek-V3.1 | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1405 | 1286 |
| Vectara Hallucination Rate | 5.5% | — |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Yi-Lightning: 42.2 (#196)

| Benchmark | DeepSeek-V3.1 | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1400 | 1269 |
| LMArena Chinese | 1469 | 1320 |
| LMArena French | 1447 | 1305 |
| LMArena German | 1411 | 1267 |
| LMArena Japanese | 1378 | 1228 |
| LMArena Korean | 1337 | 1192 |
| LMArena Russian | 1405 | 1255 |
| LMArena Spanish | 1431 | 1315 |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Yi-Lightning: 67.4 (#196)

| Benchmark | DeepSeek-V3.1 | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1400 | 1278 |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Yi-Lightning: 39.4 (#181)

| Benchmark | DeepSeek-V3.1 | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1422 | 1297 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Yi-Lightning: 50.2 (#184)

| Benchmark | DeepSeek-V3.1 | Yi-Lightning |
|---|---|---|
| LMArena Text | 1420 | 1302 |
| LMArena Creative Writing | 1401 | 1280 |
| LMArena Multi-Turn | 1408 | 1311 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

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

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 37.1 on the Noometry Index.

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

DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 27.4 in the Noometry coding category.

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

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Yi-Lightning has 18.