Model comparison
Llama 2-7B vs MiMo-V2.5
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 29.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
MetaSummary
- They share 15 benchmarks with published results for both. Llama 2-7B 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 61.6 to 28.0.
Side by side
| Llama 2-7B | MiMo-V2.5 | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 29.1 | 43.4 |
| 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 | 29 | 23 |
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Category by category
Coding MiMo-V2.5 leads
Llama 2-7B: 29.2 (#307), MiMo-V2.5: 43.9 (#81)
| Benchmark | Llama 2-7B | MiMo-V2.5 |
|---|---|---|
| LMArena Coding | 1002 | 1469 |
| LMArena WebDev | — | 1438 |
| SciCode | — | 43.1% |
| ALE-Bench | — | 513.95 |
Reasoning MiMo-V2.5 leads
Llama 2-7B: 15.7 (#312), MiMo-V2.5: 28.6 (#101)
| Benchmark | Llama 2-7B | MiMo-V2.5 |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1450 |
| CritPt | — | 3.7% |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 99.06 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math MiMo-V2.5 leads
Llama 2-7B: 30.7 (#233), MiMo-V2.5: 36.8 (#163)
| Benchmark | Llama 2-7B | MiMo-V2.5 |
|---|---|---|
| LMArena Math | 1042 | 1436 |
| ProofBench | — | 16% |
| GSM8K | 16.7% | — |
Knowledge MiMo-V2.5 leads
Llama 2-7B: 28.2 (#248), MiMo-V2.5: 40.8 (#115)
| Benchmark | Llama 2-7B | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1036 | 1460 |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, MiMo-V2.5: 39.8 (#54)
| Benchmark | Llama 2-7B | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1247 |
| ScienceQA | 43.1% | — |
Multilingual MiMo-V2.5 leads
Llama 2-7B: 23.8 (#293), MiMo-V2.5: 51.9 (#99)
| Benchmark | Llama 2-7B | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 973 | 1404 |
| LMArena Chinese | 973 | 1468 |
| LMArena French | 970 | 1447 |
| LMArena German | 978 | 1421 |
| LMArena Russian | 995 | 1395 |
| LMArena Spanish | 1007 | 1416 |
| LMArena Japanese | — | 1306 |
| LMArena Korean | — | 1363 |
Instruction Following MiMo-V2.5 leads
Llama 2-7B: 50.8 (#298), MiMo-V2.5: 75.5 (#60)
| Benchmark | Llama 2-7B | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1434 |
Long Context MiMo-V2.5 leads
Llama 2-7B: 30.4 (#287), MiMo-V2.5: 44.2 (#73)
| Benchmark | Llama 2-7B | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 999 | 1445 |
Writing & Preference MiMo-V2.5 leads
Llama 2-7B: 28.0 (#298), MiMo-V2.5: 61.6 (#86)
| Benchmark | Llama 2-7B | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1053 | 1428 |
| LMArena Creative Writing | 1033 | 1393 |
| LMArena Multi-Turn | 1029 | 1445 |
Frequently asked questions
Is Llama 2-7B better than MiMo-V2.5?
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 29.1 on the Noometry Index.
Is Llama 2-7B or MiMo-V2.5 better for coding?
MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and MiMo-V2.5 share?
15 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and MiMo-V2.5 has 23.