# GPT-4 vs Qwen3-Next 80B-A3B Instruct

> Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-vs-qwen3-next-80b-a3b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-4 scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-Next 80B-A3B Instruct leads 38.8 to 10.8.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $30 / $60 for GPT-4.
- Qwen3-Next 80B-A3B Instruct accepts more context: 131K tokens versus 8K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 29.1 | 43.0 |
| Rank | 316 | 102 |
| Context | 8K | 131K |
| Input $/M | $30 | $0.50 |
| Output $/M | $60 | $2 |
| Weights | Proprietary | Open |

## Coding

- GPT-4: 31.6 (#283)
- Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

| Benchmark | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1254 | 1440 |
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| BigCodeBench Complete | 57.2% | — |
| HumanEval+ | 79.3% | — |

## Agentic & Tool Use

- GPT-4: —
- Qwen3-Next 80B-A3B Instruct: —

| Benchmark | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| METR Time Horizons | 36.1% | — |

## Reasoning

- GPT-4: 17.8 (#289)
- Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

| Benchmark | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| Chess Puzzles | 4% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 62.7% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| Epoch Capabilities Index | 125.89 | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |

## Math

- GPT-4: 10.8 (#309)
- Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

| Benchmark | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1269 | 1440 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| Omni-MATH | — | 46.7% |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |

## Knowledge

- GPT-4: 18.4 (#282)
- Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

| Benchmark | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1211 | 1417 |
| GPQA Diamond | 35.7% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |

## Multilingual

- GPT-4: 40.6 (#215)
- Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

| Benchmark | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1246 | 1407 |
| LMArena Chinese | 1242 | 1460 |
| LMArena French | 1283 | 1413 |
| LMArena German | 1251 | 1417 |
| LMArena Japanese | 1209 | 1395 |
| LMArena Korean | 1184 | 1364 |
| LMArena Russian | 1251 | 1404 |
| LMArena Spanish | 1261 | 1435 |

## Instruction Following

- GPT-4: 65.3 (#222)
- Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

| Benchmark | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1241 | 1389 |
| IFEval | — | 81% |

## Long Context

- GPT-4: 37.7 (#212)
- Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

| Benchmark | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1244 | 1403 |
| Fiction.LiveBench | — | 55.6% |

## Writing & Preference

- GPT-4: 34.9 (#268)
- Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

| Benchmark | GPT-4 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1263 | 1417 |
| LMArena Creative Writing | 1244 | 1334 |
| LMArena Multi-Turn | 1257 | 1416 |
| EQ-Bench Creative Writing | 752 | — |
| WildBench | — | 80.7% |

## FAQ

### Is GPT-4 better than Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 29.1 on the Noometry Index.

### Which is cheaper, GPT-4 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; GPT-4 lists at $30 and $60.

### Is GPT-4 or Qwen3-Next 80B-A3B Instruct better for coding?

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 31.6 in the Noometry coding category.

### Which has the bigger context window?

Qwen3-Next 80B-A3B Instruct does, with 131K tokens against 8K.

### How many benchmarks do GPT-4 and Qwen3-Next 80B-A3B Instruct share?

17 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.