Model comparison
Llama 2-70B vs MiMo-V2.6-Flash
MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 24.1 on the Noometry Index.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. Llama 2-70B 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 knowledge, where MiMo-V2.6-Flash leads 42.0 to 7.4.
Side by side
| Llama 2-70B | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 24.1 | 44.4 |
| Released | 2023-07-18 | 2026-09-22 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 35 | 13 |
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Category by category
Coding MiMo-V2.6-Flash leads
Llama 2-70B: 30.8 (#281), MiMo-V2.6-Flash: 44.3 (#68)
| Benchmark | Llama 2-70B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Coding | 1079 | 1516 |
Reasoning MiMo-V2.6-Flash leads
Llama 2-70B: 13.7 (#324), MiMo-V2.6-Flash: 29.6 (#82)
| Benchmark | Llama 2-70B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1481 |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| Epoch Capabilities Index | 113.59 | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math MiMo-V2.6-Flash leads
Llama 2-70B: 7.5 (#320), MiMo-V2.6-Flash: 37.4 (#97)
| Benchmark | Llama 2-70B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Math | 1091 | 1477 |
| OTIS Mock AIME 2024-2025 | 0% | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge MiMo-V2.6-Flash leads
Llama 2-70B: 7.4 (#305), MiMo-V2.6-Flash: 42.0 (#91)
| Benchmark | Llama 2-70B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1039 | 1516 |
| GPQA Diamond | 26.3% | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multimodal Not comparable
Llama 2-70B: —, MiMo-V2.6-Flash: 40.2 (#39)
| Benchmark | Llama 2-70B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1266 |
Multilingual MiMo-V2.6-Flash leads
Llama 2-70B: 27.9 (#269), MiMo-V2.6-Flash: 54.6 (#41)
| Benchmark | Llama 2-70B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1045 | 1439 |
| LMArena Chinese | 994 | 1501 |
| LMArena Russian | 1083 | 1424 |
| LMArena French | 1089 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Spanish | 1142 | — |
Instruction Following MiMo-V2.6-Flash leads
Llama 2-70B: 55.1 (#273), MiMo-V2.6-Flash: 77.0 (#33)
| Benchmark | Llama 2-70B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1071 | 1463 |
Long Context MiMo-V2.6-Flash leads
Llama 2-70B: 32.2 (#265), MiMo-V2.6-Flash: 44.8 (#52)
| Benchmark | Llama 2-70B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1062 | 1465 |
Writing & Preference MiMo-V2.6-Flash leads
Llama 2-70B: 32.5 (#274), MiMo-V2.6-Flash: 63.9 (#61)
| Benchmark | Llama 2-70B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1115 | 1459 |
| LMArena Creative Writing | 1075 | 1408 |
| LMArena Multi-Turn | 1088 | 1460 |
Frequently asked questions
Is Llama 2-70B better than MiMo-V2.6-Flash?
MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 24.1 on the Noometry Index.
Is Llama 2-70B or MiMo-V2.6-Flash better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 44.3 versus 30.8 in the Noometry coding category.
How many benchmarks do Llama 2-70B and MiMo-V2.6-Flash share?
12 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and MiMo-V2.6-Flash has 13.