# Qwen3 14B vs Yi-1.5-34B

> Qwen3 14B is the stronger model overall, scoring 35.5 to 30.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen3-14b-vs-yi-1-5-34b
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Qwen3 14B scores higher in 4 categories and Yi-1.5-34B in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 63.8% for Qwen3 14B and 32% for Yi-1.5-34B.

## Snapshot

| | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 35.5 | 30.6 |
| Rank | 225 | 289 |
| Context | 131K | — |
| Input $/M | $0.35 | — |
| Output $/M | $1.40 | — |
| Weights | Open | Open |

## Coding

- Qwen3 14B: 37.3 (#195)
- Yi-1.5-34B: 32.4 (#272)

| Benchmark | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| SciCode | 31.6% | — |
| BigCodeBench Instruct | — | 33.9% |
| LMArena Coding | — | 1169 |
| BigCodeBench Complete | — | 43.8% |

## Agentic & Tool Use

- Qwen3 14B: 29.6 (#83)
- Yi-1.5-34B: —

| Benchmark | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41% | — |

## Reasoning

- Qwen3 14B: 18.5 (#280)
- Yi-1.5-34B: 22.5 (#191)

| Benchmark | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| Kagi LLM Benchmark | 49.1% | — |
| CritPt | 0% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | — | 1160 |
| DTBench | 64% | — |
| LMCA | 18.2% | — |
| Epoch Capabilities Index | 138.23 | — |

## Math

- Qwen3 14B: 38.6 (#133)
- Yi-1.5-34B: 27.5 (#249)

| Benchmark | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |

## Knowledge

- Qwen3 14B: 39.3 (#134)
- Yi-1.5-34B: 14.8 (#295)

| Benchmark | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 63.8% | 32% |
| Vectara Hallucination Rate | 5.4% | — |
| LMArena Expert | — | 1144 |

## Multilingual

- Qwen3 14B: —
- Yi-1.5-34B: 32.3 (#256)

| Benchmark | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1121 |

## Instruction Following

- Qwen3 14B: —
- Yi-1.5-34B: 59.2 (#257)

| Benchmark | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |

## Long Context

- Qwen3 14B: 38.1 (#204)
- Yi-1.5-34B: 34.6 (#248)

| Benchmark | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| Fiction.LiveBench | 62.5% | — |
| LMArena Longer Query | — | 1143 |

## Writing & Preference

- Qwen3 14B: —
- Yi-1.5-34B: 37.4 (#257)

| Benchmark | Qwen3 14B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |

## FAQ

### Is Qwen3 14B better than Yi-1.5-34B?

Qwen3 14B is the stronger model overall, scoring 35.5 to 30.6 on the Noometry Index.

### Is Qwen3 14B or Yi-1.5-34B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 32.4 in the Noometry coding category.

### How many benchmarks do Qwen3 14B and Yi-1.5-34B share?

1 benchmark has published results for both models. Qwen3 14B has 12 scored results on Noometry and Yi-1.5-34B has 21.