Model comparison
Dolly 2.0-12b vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 24.9 on the Noometry Index.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and MiMo-V2-Omni in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.6 to 15.3.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | MiMo-V2-Omni | |
|---|---|---|
| Provider | Databricks | Xiaomi |
| Noometry Index | 24.9 | 42.9 |
| Released | 2023-04-11 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | — | 262K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 17 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
Dolly 2.0-12b: 23.0 (#327), MiMo-V2-Omni: 42.7 (#87)
| Benchmark | Dolly 2.0-12b | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 776 | 1467 |
Reasoning MiMo-V2-Omni leads
Dolly 2.0-12b: 14.6 (#315), MiMo-V2-Omni: 28.6 (#86)
| Benchmark | Dolly 2.0-12b | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 804 | 1445 |
| Epoch Capabilities Index | 88.94 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math MiMo-V2-Omni leads
Dolly 2.0-12b: 25.0 (#250), MiMo-V2-Omni: 36.4 (#112)
| Benchmark | Dolly 2.0-12b | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 871 | 1432 |
Knowledge Not comparable
Dolly 2.0-12b: —, MiMo-V2-Omni: 39.9 (#114)
| Benchmark | Dolly 2.0-12b | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | — | 1449 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multimodal Not comparable
Dolly 2.0-12b: —, MiMo-V2-Omni: 37.9 (#62)
| Benchmark | Dolly 2.0-12b | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
Multilingual MiMo-V2-Omni leads
Dolly 2.0-12b: 17.4 (#291), MiMo-V2-Omni: 52.0 (#97)
| Benchmark | Dolly 2.0-12b | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 836 | 1404 |
| LMArena Chinese | 836 | 1469 |
| LMArena French | — | 1448 |
| LMArena German | — | 1398 |
| LMArena Japanese | — | 1318 |
| LMArena Korean | — | 1355 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1432 |
Instruction Following MiMo-V2-Omni leads
Dolly 2.0-12b: 38.9 (#299), MiMo-V2-Omni: 75.4 (#62)
| Benchmark | Dolly 2.0-12b | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 814 | 1428 |
Long Context Not comparable
Dolly 2.0-12b: —, MiMo-V2-Omni: 44.1 (#72)
| Benchmark | Dolly 2.0-12b | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | — | 1442 |
Writing & Preference MiMo-V2-Omni leads
Dolly 2.0-12b: 15.3 (#306), MiMo-V2-Omni: 61.6 (#83)
| Benchmark | Dolly 2.0-12b | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 851 | 1424 |
| LMArena Creative Writing | 864 | 1393 |
| LMArena Multi-Turn | 740 | 1446 |
Frequently asked questions
Is Dolly 2.0-12b better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and MiMo-V2-Omni share?
9 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and MiMo-V2-Omni has 18.