Model comparison
MiMo-V2-Pro vs phi-3-medium 14B
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where MiMo-V2-Pro leads 40.8 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | phi-3-medium 14B | |
|---|---|---|
| Provider | Xiaomi | Microsoft |
| Noometry Index | 42.4 | 29.1 |
| Released | 2026-03-18 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 23 | 13 |
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Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.4 (#76), phi-3-medium 14B: 36.3 (#198)
| Benchmark | MiMo-V2-Pro | phi-3-medium 14B |
|---|---|---|
| LMArena WebDev | 1433 | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1476 | — |
| BigCodeBench Complete | — | 48.7% |
| ALE-Bench | 785.17 | — |
Reasoning Not comparable
MiMo-V2-Pro: 21.3 (#200), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Pro | phi-3-medium 14B |
|---|---|---|
| NYT Connections (extended) | 25.8% | — |
| Thematic Generalization | 45.9% | — |
| LMArena Hard Prompts | 1457 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math MiMo-V2-Pro leads
MiMo-V2-Pro: 36.7 (#104), phi-3-medium 14B: 25.2 (#249)
| Benchmark | MiMo-V2-Pro | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1447 | — |
| MATH Level 5 | — | 17.6% |
Knowledge MiMo-V2-Pro leads
MiMo-V2-Pro: 40.8 (#106), phi-3-medium 14B: 9.1 (#301)
| Benchmark | MiMo-V2-Pro | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1479 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
MiMo-V2-Pro: 52.9 (#77), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Pro | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1416 | — |
| LMArena Chinese | 1455 | — |
| LMArena French | 1470 | — |
| LMArena German | 1417 | — |
| LMArena Japanese | 1366 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1427 | — |
| LMArena Spanish | 1458 | — |
Instruction Following Not comparable
MiMo-V2-Pro: 76.2 (#46), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Pro | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1444 | — |
Long Context Not comparable
MiMo-V2-Pro: 41.5 (#133), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Pro | phi-3-medium 14B |
|---|---|---|
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |
Writing & Preference Not comparable
MiMo-V2-Pro: 62.9 (#67), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Pro | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1436 | — |
| LMArena Creative Writing | 1415 | — |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is MiMo-V2-Pro better than phi-3-medium 14B?
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 29.1 on the Noometry Index.
Is MiMo-V2-Pro or phi-3-medium 14B better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 36.3 in the Noometry coding category.
How many benchmarks do MiMo-V2-Pro and phi-3-medium 14B share?
0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and phi-3-medium 14B has 13.