Model comparison
Hy3 vs o3-pro
Hy3 is the stronger model overall, scoring 44.2 to 42.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
TencentSummary
- The widest gap is in long context, where o3-pro leads 72.2 to 44.1.
- Hy3 is cheaper at $0.13 / $0.53 per million input/output tokens, against $20 / $80 for o3-pro.
- Hy3 accepts more context: 262K tokens versus 200K.
- Hy3 has downloadable open weights; the other is API-only.
Side by side
| Hy3 | o3-pro | |
|---|---|---|
| Provider | Tencent | OpenAI |
| Noometry Index | 44.2 | 42.9 |
| Released | 2026-07-06 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $0.13 | $20 |
| Output $ / M tokens | $0.53 | $80 |
| Results tracked | 19 | 12 |
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Category by category
Coding o3-pro leads
Hy3: 46.8 (#63), o3-pro: 55.5 (#24)
| Benchmark | Hy3 | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1508 | — |
| WeirdML | — | 58.2% |
| LMArena Coding | 1464 | — |
Reasoning Hy3 leads
Hy3: 26.1 (#136), o3-pro: 23.8 (#171)
| Benchmark | Hy3 | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 41.2% | — |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1447 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
Hy3: 40.1 (#93), o3-pro: —
| Benchmark | Hy3 | o3-pro |
|---|---|---|
| LMArena Math | 1475 | — |
Knowledge Hy3 leads
Hy3: 40.8 (#114), o3-pro: 29.5 (#238)
| Benchmark | Hy3 | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1460 | — |
Multilingual Not comparable
Hy3: 53.5 (#65), o3-pro: —
| Benchmark | Hy3 | o3-pro |
|---|---|---|
| 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), o3-pro: —
| Benchmark | Hy3 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1426 | — |
Long Context o3-pro leads
Hy3: 44.1 (#75), o3-pro: 72.2 (#1)
| Benchmark | Hy3 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1442 | — |
Writing & Preference Hy3 leads
Hy3: 62.2 (#81), o3-pro: 57.1 (#133)
| Benchmark | Hy3 | o3-pro |
|---|---|---|
| LMArena Text | 1439 | — |
| LMArena Creative Writing | 1402 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Hy3 better than o3-pro?
Hy3 is the stronger model overall, scoring 44.2 to 42.9 on the Noometry Index.
Which is cheaper, Hy3 or o3-pro?
Hy3 is cheaper. It lists at $0.13 per million input tokens and $0.53 per million output tokens; o3-pro lists at $20 and $80.
Is Hy3 or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 46.8 in the Noometry coding category.
Which has the bigger context window?
Hy3 does, with 262K tokens against 200K.
How many benchmarks do Hy3 and o3-pro share?
0 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and o3-pro has 12.