Model comparison
Hy3 vs Qwen2.5 7B Instruct
Hy3 is the stronger model overall, scoring 44.2 to 29.0 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 12.6.
- Hy3 is cheaper at $0.13 / $0.53 per million input/output tokens, against $0.17 / $0.70 for Qwen2.5 7B Instruct.
- Hy3 accepts more context: 262K tokens versus 131K.
Side by side
| Hy3 | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Tencent | Alibaba (Qwen) |
| Noometry Index | 44.2 | 29.0 |
| Released | 2026-07-06 | 2024-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.13 | $0.17 |
| Output $ / M tokens | $0.53 | $0.70 |
| Results tracked | 19 | 15 |
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Category by category
Coding Hy3 leads
Hy3: 46.8 (#63), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Hy3 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena WebDev | 1508 | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1464 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Hy3: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Hy3 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Hy3 leads
Hy3: 26.1 (#136), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Hy3 | Qwen2.5 7B Instruct |
|---|---|---|
| NYT Connections (extended) | 41.2% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1447 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
Math Hy3 leads
Hy3: 40.1 (#93), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Hy3 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1475 | — |
Knowledge Hy3 leads
Hy3: 40.8 (#114), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Hy3 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1460 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
Hy3: 53.5 (#65), Qwen2.5 7B Instruct: —
| Benchmark | Hy3 | Qwen2.5 7B 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 Hy3 leads
Hy3: 75.1 (#70), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Hy3 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1426 | — |
Long Context Not comparable
Hy3: 44.1 (#75), Qwen2.5 7B Instruct: —
| Benchmark | Hy3 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference Hy3 leads
Hy3: 62.2 (#81), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Hy3 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1439 | — |
| LMArena Creative Writing | 1402 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Hy3 better than Qwen2.5 7B Instruct?
Hy3 is the stronger model overall, scoring 44.2 to 29.0 on the Noometry Index.
Which is cheaper, Hy3 or Qwen2.5 7B Instruct?
Hy3 is cheaper. It lists at $0.13 per million input tokens and $0.53 per million output tokens; Qwen2.5 7B Instruct lists at $0.17 and $0.70.
Is Hy3 or Qwen2.5 7B Instruct better for coding?
Hy3 scores higher on coding benchmarks: 46.8 versus 36.5 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 7B Instruct share?
0 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Qwen2.5 7B Instruct has 15.