Model comparison
MiMo-V2-Pro vs Phi-4 Mini
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.9 on the Noometry Index. Phi-4 Mini costs 4.1× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where MiMo-V2-Pro leads 41.4 to 25.3.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.
- Phi-4 Mini has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Phi-4 Mini | |
|---|---|---|
| Provider | Xiaomi | Microsoft |
| Noometry Index | 43.0 | 30.9 |
| Released | 2026-03-18 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 131K | 4K |
| Input $ / M tokens | $0.43 | $0.075 |
| Output $ / M tokens | $0.87 | $0.30 |
| Results tracked | 23 | 3 |
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Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.8 (#83), Phi-4 Mini: 28.1 (#317)
| Benchmark | MiMo-V2-Pro | Phi-4 Mini |
|---|---|---|
| LMArena WebDev | 1433 | — |
| SciCode | — | 10.8% |
| LMArena Coding | 1476 | — |
| ALE-Bench | 785.17 | — |
Reasoning Too close to call
MiMo-V2-Pro: 22.1 (#206), Phi-4 Mini: 22.4 (#195)
| Benchmark | MiMo-V2-Pro | Phi-4 Mini |
|---|---|---|
| NYT Connections (extended) | 25.8% | — |
| CritPt | — | 0% |
| Thematic Generalization | 45.9% | — |
| LMArena Hard Prompts | 1457 | — |
Math Not comparable
MiMo-V2-Pro: 39.5 (#102), Phi-4 Mini: —
| Benchmark | MiMo-V2-Pro | Phi-4 Mini |
|---|---|---|
| LMArena Math | 1447 | — |
Knowledge MiMo-V2-Pro leads
MiMo-V2-Pro: 41.4 (#111), Phi-4 Mini: 25.3 (#262)
| Benchmark | MiMo-V2-Pro | Phi-4 Mini |
|---|---|---|
| Vectara Hallucination Rate | — | 23.5% |
| LMArena Expert | 1478 | — |
Multilingual Not comparable
MiMo-V2-Pro: 52.7 (#81), Phi-4 Mini: —
| Benchmark | MiMo-V2-Pro | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1416 | — |
| LMArena Chinese | 1456 | — |
| LMArena French | 1469 | — |
| LMArena German | 1417 | — |
| LMArena Japanese | 1366 | — |
| LMArena Korean | 1400 | — |
| LMArena Russian | 1427 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Not comparable
MiMo-V2-Pro: 76.0 (#49), Phi-4 Mini: —
| Benchmark | MiMo-V2-Pro | Phi-4 Mini |
|---|---|---|
| LMArena Instruction Following | 1445 | — |
Long Context Not comparable
MiMo-V2-Pro: 41.5 (#138), Phi-4 Mini: —
| Benchmark | MiMo-V2-Pro | Phi-4 Mini |
|---|---|---|
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |
Writing & Preference Not comparable
MiMo-V2-Pro: 62.8 (#70), Phi-4 Mini: —
| Benchmark | MiMo-V2-Pro | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1436 | — |
| LMArena Creative Writing | 1415 | — |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is MiMo-V2-Pro better than Phi-4 Mini?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.9 on the Noometry Index. Phi-4 Mini costs 4.1× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Pro or Phi-4 Mini?
Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is MiMo-V2-Pro or Phi-4 Mini better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 28.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 128K.
How many benchmarks do MiMo-V2-Pro and Phi-4 Mini share?
0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Phi-4 Mini has 3.