Model comparison
MiMo-V2-Omni vs phi-3-medium 14B
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where MiMo-V2-Omni leads 40.5 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | phi-3-medium 14B | |
|---|---|---|
| Provider | Xiaomi | Microsoft |
| Noometry Index | 43.6 | 29.7 |
| Released | 2026-03-18 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 262K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.14 | — |
| Output $ / M tokens | $0.28 | — |
| Results tracked | 18 | 13 |
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Category by category
Coding MiMo-V2-Omni leads
MiMo-V2-Omni: 43.3 (#89), phi-3-medium 14B: 36.8 (#201)
| Benchmark | MiMo-V2-Omni | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1466 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
MiMo-V2-Omni: 29.7 (#88), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Omni | phi-3-medium 14B |
|---|---|---|
| LMArena Hard Prompts | 1445 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math MiMo-V2-Omni leads
MiMo-V2-Omni: 39.1 (#115), phi-3-medium 14B: 27.3 (#250)
| Benchmark | MiMo-V2-Omni | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1430 | — |
| MATH Level 5 | — | 17.6% |
Knowledge MiMo-V2-Omni leads
MiMo-V2-Omni: 40.5 (#118), phi-3-medium 14B: 9.1 (#306)
| Benchmark | MiMo-V2-Omni | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1449 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
MiMo-V2-Omni: 38.6 (#63), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Omni | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual Not comparable
MiMo-V2-Omni: 51.8 (#102), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Omni | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1447 | — |
| LMArena German | 1399 | — |
| LMArena Japanese | 1317 | — |
| LMArena Korean | 1355 | — |
| LMArena Russian | 1412 | — |
| LMArena Spanish | 1434 | — |
Instruction Following Not comparable
MiMo-V2-Omni: 75.2 (#66), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Omni | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1428 | — |
Long Context Not comparable
MiMo-V2-Omni: 44.1 (#76), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Omni | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference Not comparable
MiMo-V2-Omni: 61.4 (#87), phi-3-medium 14B: —
| Benchmark | MiMo-V2-Omni | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1423 | — |
| LMArena Creative Writing | 1392 | — |
| LMArena Multi-Turn | 1445 | — |
Frequently asked questions
Is MiMo-V2-Omni better than phi-3-medium 14B?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.7 on the Noometry Index.
Is MiMo-V2-Omni or phi-3-medium 14B better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 36.8 in the Noometry coding category.
How many benchmarks do MiMo-V2-Omni and phi-3-medium 14B share?
0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and phi-3-medium 14B has 13.