Model comparison
Llama 2-13B vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.4 to 29.8.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | MiMo-V2-Omni | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 29.6 | 43.6 |
| Released | 2023-07-18 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | — | 262K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 32 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
Llama 2-13B: 30.9 (#291), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | Llama 2-13B | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1062 | 1466 |
Reasoning MiMo-V2-Omni leads
Llama 2-13B: 12.8 (#337), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | Llama 2-13B | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1445 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math MiMo-V2-Omni leads
Llama 2-13B: 31.1 (#229), MiMo-V2-Omni: 39.1 (#115)
| Benchmark | Llama 2-13B | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1065 | 1430 |
| GSM8K | 36.9% | — |
Knowledge MiMo-V2-Omni leads
Llama 2-13B: 28.1 (#249), MiMo-V2-Omni: 40.5 (#118)
| Benchmark | Llama 2-13B | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1030 | 1449 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, MiMo-V2-Omni: 38.6 (#63)
| Benchmark | Llama 2-13B | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
| ScienceQA | 55.8% | — |
Multilingual MiMo-V2-Omni leads
Llama 2-13B: 26.5 (#279), MiMo-V2-Omni: 51.8 (#102)
| Benchmark | Llama 2-13B | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1024 | 1404 |
| LMArena Chinese | 1001 | 1465 |
| LMArena French | 1044 | 1447 |
| LMArena German | 1009 | 1399 |
| LMArena Japanese | 894 | 1317 |
| LMArena Korean | 953 | 1355 |
| LMArena Russian | 1055 | 1412 |
| LMArena Spanish | 1087 | 1434 |
Instruction Following MiMo-V2-Omni leads
Llama 2-13B: 53.3 (#287), MiMo-V2-Omni: 75.2 (#66)
| Benchmark | Llama 2-13B | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1045 | 1428 |
Long Context MiMo-V2-Omni leads
Llama 2-13B: 32.3 (#269), MiMo-V2-Omni: 44.1 (#76)
| Benchmark | Llama 2-13B | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1064 | 1442 |
Writing & Preference MiMo-V2-Omni leads
Llama 2-13B: 29.8 (#289), MiMo-V2-Omni: 61.4 (#87)
| Benchmark | Llama 2-13B | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1084 | 1423 |
| LMArena Creative Writing | 1047 | 1392 |
| LMArena Multi-Turn | 1050 | 1445 |
Frequently asked questions
Is Llama 2-13B better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.6 on the Noometry Index.
Is Llama 2-13B or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and MiMo-V2-Omni share?
17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and MiMo-V2-Omni has 18.