# Phi-4 Mini vs Qwen3-Next 80B-A3B Instruct

> Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 30.4 on the Noometry Index. Phi-4 Mini costs 6.7× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/phi-4-mini-vs-qwen3-next-80b-a3b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Phi-4 Mini scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-Next 80B-A3B Instruct leads 41.3 to 24.8.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 23.5% for Phi-4 Mini and 9.3% for Qwen3-Next 80B-A3B Instruct.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct accepts more context: 131K tokens versus 128K.

## Snapshot

| | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 30.4 | 42.5 |
| Rank | 280 | 100 |
| Context | 128K | 131K |
| Input $/M | $0.075 | $0.50 |
| Output $/M | $0.30 | $2 |
| Weights | Open | Open |

## Coding

- Phi-4 Mini: 27.6 (#312)
- Qwen3-Next 80B-A3B Instruct: 41.9 (#101)

| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| SciCode | 10.8% | — |
| LMArena Coding | — | 1441 |

## Reasoning

- Phi-4 Mini: 21.7 (#190)
- Qwen3-Next 80B-A3B Instruct: 30.1 (#79)

| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 66.7% |
| CritPt | 0% | — |
| LMArena Hard Prompts | — | 1428 |

## Math

- Phi-4 Mini: —
- Qwen3-Next 80B-A3B Instruct: 36.3 (#118)

| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |

## Knowledge

- Phi-4 Mini: 24.8 (#261)
- Qwen3-Next 80B-A3B Instruct: 41.3 (#102)

| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vectara Hallucination Rate | 23.5% | 9.3% |
| MMLU-Pro | — | 78.6% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1416 |

## Multilingual

- Phi-4 Mini: —
- Qwen3-Next 80B-A3B Instruct: 52.3 (#88)

| Benchmark | Phi-4 Mini | 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

- Phi-4 Mini: —
- Qwen3-Next 80B-A3B Instruct: 71.0 (#154)

| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1388 |

## Long Context

- Phi-4 Mini: —
- Qwen3-Next 80B-A3B Instruct: 37.0 (#218)

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

## Writing & Preference

- Phi-4 Mini: —
- Qwen3-Next 80B-A3B Instruct: 58.2 (#116)

| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1333 |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1415 |

## FAQ

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

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 30.4 on the Noometry Index. Phi-4 Mini costs 6.7× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.

### Which is cheaper, Phi-4 Mini or Qwen3-Next 80B-A3B Instruct?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.

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

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 27.6 in the Noometry coding category.

### Which has the bigger context window?

Qwen3-Next 80B-A3B Instruct does, with 131K tokens against 128K.

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

1 benchmark has published results for both models. Phi-4 Mini has 3 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.