Model comparison
Llama 3.1-405B vs MiMo-V2-Flash
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 30.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 3.1-405B scores higher in 0 categories and MiMo-V2-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Flash leads 59.7 to 38.9.
Side by side
| Llama 3.1-405B | MiMo-V2-Flash | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 30.7 | 41.3 |
| Released | 2024-07-23 | 2025-12-16 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 42 | 21 |
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Category by category
Coding MiMo-V2-Flash leads
Llama 3.1-405B: 33.1 (#262), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | Llama 3.1-405B | MiMo-V2-Flash |
|---|---|---|
| LMArena Coding | 1291 | 1443 |
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| WeirdML | 21.4% | — |
| ALE-Bench | — | 737.95 |
Agentic & Tool Use Not comparable
Llama 3.1-405B: 21.0 (#140), MiMo-V2-Flash: —
| Benchmark | Llama 3.1-405B | MiMo-V2-Flash |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
Reasoning MiMo-V2-Flash leads
Llama 3.1-405B: 16.8 (#300), MiMo-V2-Flash: 24.9 (#157)
| Benchmark | Llama 3.1-405B | MiMo-V2-Flash |
|---|---|---|
| LMArena Hard Prompts | 1269 | 1420 |
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| CritPt | — | 0% |
| DTBench | 61.4% | — |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.75 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |
Math MiMo-V2-Flash leads
Llama 3.1-405B: 18.4 (#290), MiMo-V2-Flash: 38.3 (#139)
| Benchmark | Llama 3.1-405B | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1281 | 1396 |
| OTIS Mock AIME 2024-2025 | 9.7% | — |
| Omni-MATH | 24.9% | — |
| MATH Level 5 | 49.8% | — |
Knowledge MiMo-V2-Flash leads
Llama 3.1-405B: 30.4 (#227), MiMo-V2-Flash: 39.7 (#131)
| Benchmark | Llama 3.1-405B | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1243 | 1425 |
| GPQA Diamond | 50.9% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| GPQA (HELM) | 52.2% | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 84.5% | — |
| TriviaQA | 82.7% | — |
Multilingual MiMo-V2-Flash leads
Llama 3.1-405B: 40.7 (#214), MiMo-V2-Flash: 51.0 (#113)
| Benchmark | Llama 3.1-405B | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1248 | 1392 |
| LMArena Chinese | 1242 | 1462 |
| LMArena French | 1279 | 1429 |
| LMArena German | 1252 | 1395 |
| LMArena Japanese | 1208 | 1325 |
| LMArena Korean | 1184 | 1358 |
| LMArena Russian | 1265 | 1387 |
| LMArena Spanish | 1260 | 1420 |
Instruction Following MiMo-V2-Flash leads
Llama 3.1-405B: 65.9 (#214), MiMo-V2-Flash: 73.5 (#120)
| Benchmark | Llama 3.1-405B | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1259 | 1392 |
| IFEval | 81.1% | — |
Long Context MiMo-V2-Flash leads
Llama 3.1-405B: 38.4 (#197), MiMo-V2-Flash: 43.0 (#110)
| Benchmark | Llama 3.1-405B | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1266 | 1409 |
Writing & Preference MiMo-V2-Flash leads
Llama 3.1-405B: 38.9 (#251), MiMo-V2-Flash: 59.7 (#106)
| Benchmark | Llama 3.1-405B | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1284 | 1411 |
| LMArena Creative Writing | 1262 | 1375 |
| LMArena Multi-Turn | 1297 | 1404 |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
Frequently asked questions
Is Llama 3.1-405B better than MiMo-V2-Flash?
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 30.7 on the Noometry Index.
Is Llama 3.1-405B or MiMo-V2-Flash better for coding?
MiMo-V2-Flash scores higher on coding benchmarks: 36.1 versus 33.1 in the Noometry coding category.
How many benchmarks do Llama 3.1-405B and MiMo-V2-Flash share?
17 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and MiMo-V2-Flash has 21.