# Hy3 vs o3-pro

> Hy3 is the stronger model overall, scoring 44.2 to 42.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/hy3-vs-o3-pro
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- 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.

## Snapshot

| | Hy3 | o3-pro |
|---|---|---|
| Provider | Tencent | OpenAI |
| Noometry Index | 44.2 | 42.9 |
| Rank | 79 | 105 |
| Context | 262K | 200K |
| Input $/M | $0.13 | $20 |
| Output $/M | $0.53 | $80 |
| Weights | Open | Proprietary |

## Coding

- 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: 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

- Hy3: 40.1 (#93)
- o3-pro: —

| Benchmark | Hy3 | o3-pro |
|---|---|---|
| LMArena Math | 1475 | — |

## Knowledge

- 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

- 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

- Hy3: 75.1 (#70)
- o3-pro: —

| Benchmark | Hy3 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1426 | — |

## Long Context

- Hy3: 44.1 (#75)
- o3-pro: 72.2 (#1)

| Benchmark | Hy3 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1442 | — |

## Writing & Preference

- 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 | — |

## FAQ

### 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.