Model comparison
Llama 13b vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 24.4 on the Noometry Index.
Last verified . 8 shared benchmarks.
MetaSummary
- They share 8 benchmarks with published results for both. Llama 13b scores higher in 0 categories and MiMo-V2-Pro in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Llama 13b | MiMo-V2-Pro | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 24.4 | 43.0 |
| Released | 2023-02-24 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 21 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Llama 13b: 21.4 (#337), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Llama 13b | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 683 | 1476 |
| LMArena WebDev | — | 1433 |
| ALE-Bench | — | 785.17 |
Reasoning MiMo-V2-Pro leads
Llama 13b: 14.0 (#329), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Llama 13b | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 728 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.58 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math MiMo-V2-Pro leads
Llama 13b: 26.7 (#256), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Llama 13b | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 838 | 1447 |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Llama 13b | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | — | 1478 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, MiMo-V2-Pro: —
| Benchmark | Llama 13b | MiMo-V2-Pro |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual MiMo-V2-Pro leads
Llama 13b: 16.6 (#297), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Llama 13b | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 819 | 1416 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |
Instruction Following MiMo-V2-Pro leads
Llama 13b: 36.7 (#305), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Llama 13b | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 781 | 1445 |
Long Context Not comparable
Llama 13b: —, MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Llama 13b | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference MiMo-V2-Pro leads
Llama 13b: 13.8 (#312), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Llama 13b | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 834 | 1436 |
| LMArena Creative Writing | 794 | 1415 |
| LMArena Multi-Turn | 753 | 1456 |
Frequently asked questions
Is Llama 13b better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 24.4 on the Noometry Index.
Is Llama 13b or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and MiMo-V2-Pro share?
8 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and MiMo-V2-Pro has 23.