# Hy3 vs Qwen3 14B

> Hy3 is the stronger model overall, scoring 44.2 to 35.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/hy3-vs-qwen3-14b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where Hy3 leads 46.8 to 37.3.
- Hy3 is cheaper at $0.13 / $0.53 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- Hy3 accepts more context: 262K tokens versus 131K.

## Snapshot

| | Hy3 | Qwen3 14B |
|---|---|---|
| Provider | Tencent | Alibaba (Qwen) |
| Noometry Index | 44.2 | 35.5 |
| Rank | 79 | 225 |
| Context | 262K | 131K |
| Input $/M | $0.13 | $0.35 |
| Output $/M | $0.53 | $1.40 |
| Weights | Open | Open |

## Coding

- Hy3: 46.8 (#63)
- Qwen3 14B: 37.3 (#195)

| Benchmark | Hy3 | Qwen3 14B |
|---|---|---|
| LMArena WebDev | 1508 | — |
| SciCode | — | 31.6% |
| LMArena Coding | 1464 | — |

## Agentic & Tool Use

- Hy3: —
- Qwen3 14B: 29.6 (#83)

| Benchmark | Hy3 | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- Hy3: 26.1 (#136)
- Qwen3 14B: 18.5 (#280)

| Benchmark | Hy3 | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | 41.2% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1447 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |

## Math

- Hy3: 40.1 (#93)
- Qwen3 14B: 38.6 (#133)

| Benchmark | Hy3 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1475 | — |

## Knowledge

- Hy3: 40.8 (#114)
- Qwen3 14B: 39.3 (#134)

| Benchmark | Hy3 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1460 | — |

## Multilingual

- Hy3: 53.5 (#65)
- Qwen3 14B: —

| Benchmark | Hy3 | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1426 | — |
| LMArena Chinese | 1493 | — |
| LMArena French | 1461 | — |
| LMArena German | 1439 | — |
| LMArena Japanese | 1392 | — |
| LMArena Korean | 1395 | — |
| LMArena Russian | 1432 | — |
| LMArena Spanish | 1456 | — |

## Instruction Following

- Hy3: 75.1 (#70)
- Qwen3 14B: —

| Benchmark | Hy3 | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1426 | — |

## Long Context

- Hy3: 44.1 (#75)
- Qwen3 14B: 38.1 (#204)

| Benchmark | Hy3 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1442 | — |

## Writing & Preference

- Hy3: 62.2 (#81)
- Qwen3 14B: —

| Benchmark | Hy3 | Qwen3 14B |
|---|---|---|
| LMArena Text | 1439 | — |
| LMArena Creative Writing | 1402 | — |
| LMArena Multi-Turn | 1436 | — |

## FAQ

### Is Hy3 better than Qwen3 14B?

Hy3 is the stronger model overall, scoring 44.2 to 35.5 on the Noometry Index.

### Which is cheaper, Hy3 or Qwen3 14B?

Hy3 is cheaper. It lists at $0.13 per million input tokens and $0.53 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

### Is Hy3 or Qwen3 14B better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 37.3 in the Noometry coding category.

### Which has the bigger context window?

Hy3 does, with 262K tokens against 131K.

### How many benchmarks do Hy3 and Qwen3 14B share?

0 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Qwen3 14B has 12.