# o3-pro vs Qwen3-Next 80B-A3B Instruct

> o3-pro and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.7 vs 42.5), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/o3-pro-vs-qwen3-next-80b-a3b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. o3-pro scores higher in 2 categories and Qwen3-Next 80B-A3B Instruct in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 37.0.
- The biggest single-benchmark swing is Fiction.LiveBench: 97.2% for o3-pro and 55.6% for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 131K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.7 | 42.5 |
| Rank | 94 | 100 |
| Context | 200K | 131K |
| Input $/M | $20 | $0.50 |
| Output $/M | $80 | $2 |
| Weights | Proprietary | Open |

## Coding

- o3-pro: 55.1 (#22)
- Qwen3-Next 80B-A3B Instruct: 41.9 (#101)

| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Aider Polyglot | 84.9% | — |
| WeirdML | 58.2% | — |
| LMArena Coding | — | 1441 |

## Reasoning

- o3-pro: 24.1 (#152)
- Qwen3-Next 80B-A3B Instruct: 30.1 (#79)

| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 72.1% | 66.7% |
| ARC-AGI-2 | 4.9% | — |
| ARC-AGI-1 | 59.3% | — |
| LMArena Hard Prompts | — | 1428 |
| DTBench | 86.9% | — |
| LMCA | 38.5% | — |
| Epoch Capabilities Index | 147.43 | — |

## Math

- o3-pro: —
- Qwen3-Next 80B-A3B Instruct: 36.3 (#118)

| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |

## Knowledge

- o3-pro: 29.0 (#234)
- Qwen3-Next 80B-A3B Instruct: 41.3 (#102)

| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vectara Hallucination Rate | 23.3% | 9.3% |
| MMLU-Pro | — | 78.6% |
| Confabulations | 14.2% | — |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1416 |

## Multilingual

- o3-pro: —
- Qwen3-Next 80B-A3B Instruct: 52.3 (#88)

| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1461 |
| LMArena French | — | 1415 |
| LMArena German | — | 1416 |
| LMArena Japanese | — | 1398 |
| LMArena Korean | — | 1366 |
| LMArena Russian | — | 1403 |
| LMArena Spanish | — | 1436 |

## Instruction Following

- o3-pro: —
- Qwen3-Next 80B-A3B Instruct: 71.0 (#154)

| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1388 |

## Long Context

- o3-pro: 72.1 (#1)
- Qwen3-Next 80B-A3B Instruct: 37.0 (#218)

| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | 97.2% | 55.6% |
| LMArena Longer Query | — | 1403 |

## Writing & Preference

- o3-pro: 57.1 (#128)
- Qwen3-Next 80B-A3B Instruct: 58.2 (#116)

| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1333 |
| Short-Story Creative Writing | 84.4% | — |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1415 |

## FAQ

### Is o3-pro better than Qwen3-Next 80B-A3B Instruct?

o3-pro and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.7 vs 42.5), so choose on price, context window or the category you care about most.

### Which is cheaper, o3-pro or Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; o3-pro lists at $20 and $80.

### Is o3-pro or Qwen3-Next 80B-A3B Instruct better for coding?

o3-pro scores higher on coding benchmarks: 55.1 versus 41.9 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-Next 80B-A3B Instruct share?

3 benchmarks have published results for both models. o3-pro has 12 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.