# DeepSeek-V3.1-Terminus vs Yi-34B

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 27.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-yi-34b
- 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-34B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 34.1.

## Snapshot

| | DeepSeek-V3.1-Terminus | Yi-34B |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 43.1 | 27.8 |
| Rank | 97 | 329 |
| Context | 164K | — |
| Input $/M | $0.27 | — |
| Output $/M | $1 | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Yi-34B: 32.3 (#274)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-34B |
|---|---|---|
| LMArena Coding | 1426 | 1112 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Yi-34B: 21.2 (#226)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1104 |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Yi-34B: 21.6 (#282)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-34B |
|---|---|---|
| LMArena Math | 1402 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Yi-34B: 7.5 (#309)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-34B |
|---|---|---|
| GPQA Diamond | — | 14.7% |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Yi-34B: 29.7 (#264)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-34B |
|---|---|---|
| LMArena Non-English | 1407 | 1079 |
| LMArena Russian | 1436 | 1050 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Yi-34B: 56.2 (#274)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1091 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Yi-34B: 33.2 (#264)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1421 | 1094 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Yi-34B: 34.1 (#273)

| Benchmark | DeepSeek-V3.1-Terminus | Yi-34B |
|---|---|---|
| LMArena Text | 1419 | 1129 |
| LMArena Creative Writing | 1403 | 1108 |
| LMArena Multi-Turn | 1411 | 1113 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Yi-34B?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 27.8 on the Noometry Index.

### Is DeepSeek-V3.1-Terminus or Yi-34B better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 32.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1-Terminus and Yi-34B share?

10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Yi-34B has 23.