# DeepSeek LLM 67B vs Yi-34B

> Yi-34B is the stronger model overall, scoring 27.4 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-yi-34b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Yi-34B in 8 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Yi-34B leads 19.8 to 8.1.
- The biggest single-benchmark swing is GPQA Diamond: 24.6% for DeepSeek LLM 67B and 14.7% for Yi-34B.

## Snapshot

| | DeepSeek LLM 67B | Yi-34B |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 24.8 | 27.4 |
| Rank | 341 | 325 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- Yi-34B: 31.8 (#269)

| Benchmark | DeepSeek LLM 67B | Yi-34B |
|---|---|---|
| LMArena Coding | 1096 | 1112 |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- Yi-34B: 20.3 (#222)

| Benchmark | DeepSeek LLM 67B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1104 |
| Epoch Capabilities Index | 110.54 | 117.28 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | — | 71.7% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- Yi-34B: 19.8 (#277)

| Benchmark | DeepSeek LLM 67B | Yi-34B |
|---|---|---|
| LMArena Math | 1108 | 1114 |
| MATH Level 5 | 6.4% | 5.1% |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| GSM8K | — | 76% |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- Yi-34B: 7.5 (#304)

| Benchmark | DeepSeek LLM 67B | Yi-34B |
|---|---|---|
| GPQA Diamond | 24.6% | 14.7% |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- Yi-34B: 29.9 (#259)

| Benchmark | DeepSeek LLM 67B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1073 | 1079 |
| LMArena Chinese | 1132 | 1175 |
| LMArena French | — | 1080 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- Yi-34B: 56.4 (#269)

| Benchmark | DeepSeek LLM 67B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1079 | 1091 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- Yi-34B: 33.2 (#259)

| Benchmark | DeepSeek LLM 67B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1092 | 1094 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- Yi-34B: 34.3 (#268)

| Benchmark | DeepSeek LLM 67B | Yi-34B |
|---|---|---|
| LMArena Text | 1105 | 1129 |
| LMArena Creative Writing | 1067 | 1108 |
| LMArena Multi-Turn | 1082 | 1113 |

## FAQ

### Is DeepSeek LLM 67B better than Yi-34B?

Yi-34B is the stronger model overall, scoring 27.4 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or Yi-34B better for coding?

They score almost the same on coding (31.3 vs 31.8); test both on your own repository before choosing.

### How many benchmarks do DeepSeek LLM 67B and Yi-34B share?

13 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Yi-34B has 23.