Model comparison
Phi-4 Mini vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 30.9 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.
Last verified . 1 shared benchmarks.
Microsoft
Alibaba (Qwen)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 41.8 to 25.3.
- 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.
Side by side
| Phi-4 Mini | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 30.9 | 43.0 |
| Released | 2024-12-11 | 2025-09 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 4K | 33K |
| Input $ / M tokens | $0.075 | $0.50 |
| Output $ / M tokens | $0.30 | $2 |
| Results tracked | 3 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Phi-4 Mini: 28.1 (#317), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| SciCode | 10.8% | — |
| LMArena Coding | — | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Phi-4 Mini: 22.4 (#195), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 66.7% |
| CritPt | 0% | — |
| LMArena Hard Prompts | — | 1428 |
Math Not comparable
Phi-4 Mini: —, Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Phi-4 Mini: 25.3 (#262), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| 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 | — | 1417 |
Multilingual Not comparable
Phi-4 Mini: —, Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Not comparable
Phi-4 Mini: —, Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1389 |
Long Context Not comparable
Phi-4 Mini: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Not comparable
Phi-4 Mini: —, Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Phi-4 Mini | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1334 |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is Phi-4 Mini better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 30.9 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: 42.5 versus 28.1 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.