Model comparison
Hy3 vs Qwen2.5 32B Instruct
Hy3 is the stronger model overall, scoring 44.2 to 30.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Tencent
Alibaba (Qwen)Summary
- The widest gap is in math, where Hy3 leads 40.1 to 16.2.
- Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- Hy3 accepts more context: 262K tokens versus 131K.
Side by side
| Hy3 | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Tencent | Alibaba (Qwen) |
| Noometry Index | 44.2 | 30.1 |
| Released | 2026-07-06 | 2024-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.0825 | $0.70 |
| Output $ / M tokens | $0.33 | $2.80 |
| Results tracked | 19 | 7 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Hy3 leads
Hy3: 46.8 (#63), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | Hy3 | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena WebDev | 1508 | — |
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1464 | — |
| BigCodeBench Complete | — | 52.3% |
Reasoning Hy3 leads
Hy3: 26.1 (#136), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | Hy3 | Qwen2.5 32B Instruct |
|---|---|---|
| NYT Connections (extended) | 41.2% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1447 | — |
| Epoch Capabilities Index | — | 128.52 |
Math Hy3 leads
Hy3: 40.1 (#93), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | Hy3 | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| LMArena Math | 1475 | — |
| MATH Level 5 | — | 56.1% |
Knowledge Hy3 leads
Hy3: 40.8 (#114), Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | Hy3 | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| LMArena Expert | 1460 | — |
Multilingual Not comparable
Hy3: 53.5 (#65), Qwen2.5 32B Instruct: —
| Benchmark | Hy3 | Qwen2.5 32B Instruct |
|---|---|---|
| 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 Not comparable
Hy3: 75.1 (#70), Qwen2.5 32B Instruct: —
| Benchmark | Hy3 | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1426 | — |
Long Context Not comparable
Hy3: 44.1 (#75), Qwen2.5 32B Instruct: —
| Benchmark | Hy3 | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference Not comparable
Hy3: 62.2 (#81), Qwen2.5 32B Instruct: —
| Benchmark | Hy3 | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1439 | — |
| LMArena Creative Writing | 1402 | — |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Hy3 better than Qwen2.5 32B Instruct?
Hy3 is the stronger model overall, scoring 44.2 to 30.1 on the Noometry Index.
Which is cheaper, Hy3 or Qwen2.5 32B Instruct?
Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.
Is Hy3 or Qwen2.5 32B Instruct better for coding?
Hy3 scores higher on coding benchmarks: 46.8 versus 38.7 in the Noometry coding category.
Which has the bigger context window?
Hy3 does, with 262K tokens against 131K.
How many benchmarks do Hy3 and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Qwen2.5 32B Instruct has 7.