Model comparison
Llama 2-7B vs MiMo-V2.6-Flash
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 29.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
MetaSummary
- They share 14 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and MiMo-V2.6-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.6-Flash leads 63.1 to 28.0.
Side by side
| Llama 2-7B | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 29.1 | 48.5 |
| Released | 2023-07-18 | 2026-09-21 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 29 | 19 |
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Category by category
Coding MiMo-V2.6-Flash leads
Llama 2-7B: 29.2 (#307), MiMo-V2.6-Flash: 53.4 (#30)
| Benchmark | Llama 2-7B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Coding | 1002 | 1504 |
| LMArena WebDev | — | 1637 |
| SciCode | — | 51.3% |
Reasoning MiMo-V2.6-Flash leads
Llama 2-7B: 15.7 (#312), MiMo-V2.6-Flash: 36.5 (#66)
| Benchmark | Llama 2-7B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1482 |
| CritPt | — | 12% |
| 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-V2.6-Flash leads
Llama 2-7B: 30.7 (#233), MiMo-V2.6-Flash: 51.9 (#52)
| Benchmark | Llama 2-7B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Math | 1042 | 1468 |
| ProofBench | — | 63% |
| GSM8K | 16.7% | — |
Knowledge MiMo-V2.6-Flash leads
Llama 2-7B: 28.2 (#248), MiMo-V2.6-Flash: 42.2 (#99)
| Benchmark | Llama 2-7B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1036 | 1501 |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, MiMo-V2.6-Flash: 40.5 (#47)
| Benchmark | Llama 2-7B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1259 |
| ScienceQA | 43.1% | — |
Multilingual MiMo-V2.6-Flash leads
Llama 2-7B: 23.8 (#293), MiMo-V2.6-Flash: 54.0 (#51)
| Benchmark | Llama 2-7B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 973 | 1434 |
| LMArena Chinese | 973 | 1511 |
| LMArena French | 970 | 1475 |
| LMArena Russian | 995 | 1409 |
| LMArena Spanish | 1007 | 1456 |
| LMArena German | 978 | — |
Instruction Following MiMo-V2.6-Flash leads
Llama 2-7B: 50.8 (#298), MiMo-V2.6-Flash: 76.8 (#35)
| Benchmark | Llama 2-7B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1006 | 1463 |
Long Context MiMo-V2.6-Flash leads
Llama 2-7B: 30.4 (#287), MiMo-V2.6-Flash: 44.8 (#57)
| Benchmark | Llama 2-7B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 999 | 1463 |
Writing & Preference MiMo-V2.6-Flash leads
Llama 2-7B: 28.0 (#298), MiMo-V2.6-Flash: 63.1 (#67)
| Benchmark | Llama 2-7B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1053 | 1455 |
| LMArena Creative Writing | 1033 | 1400 |
| LMArena Multi-Turn | 1029 | 1451 |
Frequently asked questions
Is Llama 2-7B better than MiMo-V2.6-Flash?
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 29.1 on the Noometry Index.
Is Llama 2-7B or MiMo-V2.6-Flash better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and MiMo-V2.6-Flash share?
14 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and MiMo-V2.6-Flash has 19.