# o3-pro vs Qwen3-30B-A3B

> o3-pro is the stronger model overall, scoring 42.7 to 38.5 on the Noometry Index. Qwen3-30B-A3B costs 163× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/o3-pro-vs-qwen3-30b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. o3-pro scores higher in 4 categories and Qwen3-30B-A3B in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 31.0.
- The biggest single-benchmark swing is Fiction.LiveBench: 97.2% for o3-pro and 40.6% for Qwen3-30B-A3B.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.

## Snapshot

| | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.7 | 38.5 |
| Rank | 94 | 174 |
| Context | 200K | 41K |
| Input $/M | $20 | $0.12 |
| Output $/M | $80 | $0.50 |
| Weights | Proprietary | Open |

## Coding

- o3-pro: 55.1 (#22)
- Qwen3-30B-A3B: 37.0 (#188)

| Benchmark | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| WeirdML | 58.2% | 29.8% |
| Aider Polyglot | 84.9% | — |
| SciCode | — | 33.3% |
| LMArena Coding | — | 1416 |

## Agentic & Tool Use

- o3-pro: —
- Qwen3-30B-A3B: 29.5 (#75)

| Benchmark | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |

## Reasoning

- o3-pro: 24.1 (#152)
- Qwen3-30B-A3B: 21.6 (#193)

| Benchmark | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 72.1% | 54.9% |
| DTBench | 86.9% | 69.3% |
| LMCA | 38.5% | 22.4% |
| Epoch Capabilities Index | 147.43 | 139.63 |
| ARC-AGI-2 | 4.9% | — |
| ARC-AGI-1 | 59.3% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LMArena Hard Prompts | — | 1398 |

## Math

- o3-pro: —
- Qwen3-30B-A3B: 36.0 (#133)

| Benchmark | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| LMArena Math | — | 1394 |

## Knowledge

- o3-pro: 29.0 (#234)
- Qwen3-30B-A3B: 41.7 (#96)

| Benchmark | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| Confabulations | 14.2% | 12.3% |
| GPQA Diamond | — | 70.1% |
| Vectara Hallucination Rate | 23.3% | — |
| LMArena Expert | — | 1395 |

## Multilingual

- o3-pro: —
- Qwen3-30B-A3B: 49.8 (#126)

| Benchmark | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | — | 1372 |
| LMArena Chinese | — | 1434 |
| LMArena French | — | 1419 |
| LMArena German | — | 1379 |
| LMArena Japanese | — | 1338 |
| LMArena Korean | — | 1333 |
| LMArena Russian | — | 1369 |
| LMArena Spanish | — | 1403 |

## Instruction Following

- o3-pro: —
- Qwen3-30B-A3B: 72.2 (#137)

| Benchmark | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1364 |

## Long Context

- o3-pro: 72.1 (#1)
- Qwen3-30B-A3B: 31.0 (#278)

| Benchmark | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | 97.2% | 40.6% |
| LMArena Longer Query | — | 1379 |

## Writing & Preference

- o3-pro: 57.1 (#128)
- Qwen3-30B-A3B: 55.9 (#138)

| Benchmark | o3-pro | Qwen3-30B-A3B |
|---|---|---|
| Short-Story Creative Writing | 84.4% | 75.3% |
| LMArena Text | — | 1384 |
| LMArena Creative Writing | — | 1318 |
| LMArena Multi-Turn | — | 1378 |

## FAQ

### Is o3-pro better than Qwen3-30B-A3B?

o3-pro is the stronger model overall, scoring 42.7 to 38.5 on the Noometry Index. Qwen3-30B-A3B costs 163× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

### Which is cheaper, o3-pro or Qwen3-30B-A3B?

Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; o3-pro lists at $20 and $80.

### Is o3-pro or Qwen3-30B-A3B better for coding?

o3-pro scores higher on coding benchmarks: 55.1 versus 37.0 in the Noometry coding category.

### Which has the bigger context window?

o3-pro does, with 200K tokens against 41K.

### How many benchmarks do o3-pro and Qwen3-30B-A3B share?

8 benchmarks have published results for both models. o3-pro has 12 scored results on Noometry and Qwen3-30B-A3B has 32.