# DeepSeek-V2.5 (Sep 2024) vs Yi-34B

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 27.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-yi-34b
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Yi-34B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V2.5 (Sep 2024) leads 34.8 to 7.5.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Yi-34B |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 37.6 | 27.8 |
| Rank | 200 | 329 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Yi-34B: 32.3 (#274)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Yi-34B |
|---|---|---|
| LMArena Coding | 1309 | 1112 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- Yi-34B: 21.2 (#226)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Yi-34B: 21.6 (#282)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Yi-34B |
|---|---|---|
| LMArena Math | 1288 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Yi-34B: 7.5 (#309)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Yi-34B |
|---|---|---|
| LMArena Expert | 1266 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Yi-34B: 29.7 (#264)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Yi-34B |
|---|---|---|
| LMArena Non-English | 1273 | 1079 |
| LMArena Chinese | 1318 | 1176 |
| LMArena French | 1289 | 1081 |
| LMArena German | 1258 | 1042 |
| LMArena Japanese | 1228 | 993 |
| LMArena Korean | 1209 | 959 |
| LMArena Russian | 1289 | 1050 |
| LMArena Spanish | 1248 | 1070 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- Yi-34B: 56.2 (#274)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1280 | 1091 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Yi-34B: 33.2 (#264)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1301 | 1094 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Yi-34B: 34.1 (#273)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Yi-34B |
|---|---|---|
| LMArena Text | 1294 | 1129 |
| LMArena Creative Writing | 1285 | 1108 |
| LMArena Multi-Turn | 1297 | 1113 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Yi-34B?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 27.8 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Yi-34B better for coding?

They score almost the same on coding (31.7 vs 32.3); test both on your own repository before choosing.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Yi-34B share?

17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Yi-34B has 23.