Model comparison
Llama 2-13B vs MiMo-V2.5
MiMo-V2.5 is the stronger model overall, scoring 43.0 to 29.1 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-V2.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5 leads 61.8 to 30.0.
Side by side
| Llama 2-13B | MiMo-V2.5 | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 29.1 | 43.0 |
| Released | 2023-07-18 | 2026-04-22 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 32 | 23 |
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Category by category
Coding MiMo-V2.5 leads
Llama 2-13B: 30.4 (#287), MiMo-V2.5: 43.6 (#75)
| Benchmark | Llama 2-13B | MiMo-V2.5 |
|---|---|---|
| LMArena Coding | 1062 | 1469 |
| LMArena WebDev | — | 1438 |
| SciCode | — | 43.1% |
| ALE-Bench | — | 513.95 |
Reasoning MiMo-V2.5 leads
Llama 2-13B: 12.3 (#333), MiMo-V2.5: 27.8 (#98)
| Benchmark | Llama 2-13B | MiMo-V2.5 |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1450 |
| CritPt | — | 3.7% |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 105.8 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math MiMo-V2.5 leads
Llama 2-13B: 28.7 (#226), MiMo-V2.5: 35.4 (#145)
| Benchmark | Llama 2-13B | MiMo-V2.5 |
|---|---|---|
| LMArena Math | 1065 | 1436 |
| ProofBench | — | 16% |
| GSM8K | 36.9% | — |
Knowledge MiMo-V2.5 leads
Llama 2-13B: 27.5 (#244), MiMo-V2.5: 40.2 (#109)
| Benchmark | Llama 2-13B | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1030 | 1459 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, MiMo-V2.5: 39.0 (#53)
| Benchmark | Llama 2-13B | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1245 |
| ScienceQA | 55.8% | — |
Multilingual MiMo-V2.5 leads
Llama 2-13B: 26.7 (#274), MiMo-V2.5: 52.0 (#96)
| Benchmark | Llama 2-13B | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1024 | 1404 |
| LMArena Chinese | 1001 | 1467 |
| LMArena French | 1043 | 1447 |
| LMArena German | 1009 | 1421 |
| LMArena Japanese | 894 | 1304 |
| LMArena Korean | 953 | 1363 |
| LMArena Russian | 1055 | 1395 |
| LMArena Spanish | 1086 | 1412 |
Instruction Following MiMo-V2.5 leads
Llama 2-13B: 53.5 (#282), MiMo-V2.5: 75.7 (#55)
| Benchmark | Llama 2-13B | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1046 | 1433 |
Long Context MiMo-V2.5 leads
Llama 2-13B: 32.3 (#264), MiMo-V2.5: 44.1 (#69)
| Benchmark | Llama 2-13B | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1064 | 1444 |
Writing & Preference MiMo-V2.5 leads
Llama 2-13B: 30.0 (#284), MiMo-V2.5: 61.8 (#82)
| Benchmark | Llama 2-13B | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1085 | 1427 |
| LMArena Creative Writing | 1047 | 1392 |
| LMArena Multi-Turn | 1050 | 1445 |
Frequently asked questions
Is Llama 2-13B better than MiMo-V2.5?
MiMo-V2.5 is the stronger model overall, scoring 43.0 to 29.1 on the Noometry Index.
Is Llama 2-13B or MiMo-V2.5 better for coding?
MiMo-V2.5 scores higher on coding benchmarks: 43.6 versus 30.4 in the Noometry coding category.
How many benchmarks do Llama 2-13B and MiMo-V2.5 share?
17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and MiMo-V2.5 has 23.