# o3-pro vs Qwen3 8B

> o3-pro is the stronger model overall, scoring 42.9 to 33.7 on the Noometry Index. Qwen3 8B costs 113× 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-qwen3-8b
- Last updated: 2026-10-11
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. o3-pro scores higher in 3 categories and Qwen3 8B in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 37.9.
- The biggest single-benchmark swing is Fiction.LiveBench: 97.2% for o3-pro and 62.1% for Qwen3 8B.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 131K.
- Qwen3 8B has downloadable open weights; the other is API-only.

## Snapshot

| | o3-pro | Qwen3 8B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.9 | 33.7 |
| Rank | 105 | 238 |
| Context | 200K | 131K |
| Input $/M | $20 | $0.18 |
| Output $/M | $80 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- o3-pro: 55.5 (#24)
- Qwen3 8B: 34.0 (#248)

| Benchmark | o3-pro | Qwen3 8B |
|---|---|---|
| Aider Polyglot | 84.9% | — |
| SciCode | — | 22.6% |
| WeirdML | 58.2% | — |

## Agentic & Tool Use

- o3-pro: —
- Qwen3 8B: 30.2 (#78)

| Benchmark | o3-pro | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |

## Reasoning

- o3-pro: 23.8 (#171)
- Qwen3 8B: 16.6 (#303)

| Benchmark | o3-pro | Qwen3 8B |
|---|---|---|
| DTBench | 86.9% | 59.7% |
| LMCA | 38.5% | 8.8% |
| Epoch Capabilities Index | 147.42 | 136.17 |
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 72.1% | — |
| ARC-AGI-1 | 59.3% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |

## Math

- o3-pro: —
- Qwen3 8B: 34.9 (#191)

| Benchmark | o3-pro | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |

## Knowledge

- o3-pro: 29.5 (#238)
- Qwen3 8B: 36.1 (#173)

| Benchmark | o3-pro | Qwen3 8B |
|---|---|---|
| Vectara Hallucination Rate | 23.3% | 4.8% |
| GPQA Diamond | — | 56.8% |
| Confabulations | 14.2% | — |

## Long Context

- o3-pro: 72.2 (#1)
- Qwen3 8B: 37.9 (#210)

| Benchmark | o3-pro | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | 97.2% | 62.1% |

## Writing & Preference

- o3-pro: 57.1 (#133)
- Qwen3 8B: —

| Benchmark | o3-pro | Qwen3 8B |
|---|---|---|
| Short-Story Creative Writing | 84.4% | — |

## FAQ

### Is o3-pro better than Qwen3 8B?

o3-pro is the stronger model overall, scoring 42.9 to 33.7 on the Noometry Index. Qwen3 8B costs 113× 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 8B?

Qwen3 8B is cheaper. It lists at $0.18 per million input tokens and $0.70 per million output tokens; o3-pro lists at $20 and $80.

### Is o3-pro or Qwen3 8B better for coding?

o3-pro scores higher on coding benchmarks: 55.5 versus 34.0 in the Noometry coding category.

### Which has the bigger context window?

o3-pro does, with 200K tokens against 131K.

### How many benchmarks do o3-pro and Qwen3 8B share?

5 benchmarks have published results for both models. o3-pro has 12 scored results on Noometry and Qwen3 8B has 11.