Model comparison
Llama 3-70B vs MiMo-V2-Flash
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 28.8 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and MiMo-V2-Flash in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2-Flash leads 38.3 to 12.8.
Side by side
| Llama 3-70B | MiMo-V2-Flash | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 28.8 | 41.3 |
| Released | 2024-04-18 | 2025-12-16 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 31 | 21 |
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Category by category
Coding Too close to call
Llama 3-70B: 35.8 (#218), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | Llama 3-70B | MiMo-V2-Flash |
|---|---|---|
| LMArena Coding | 1206 | 1443 |
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| ALE-Bench | — | 737.95 |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Not comparable
Llama 3-70B: 21.1 (#139), MiMo-V2-Flash: —
| Benchmark | Llama 3-70B | MiMo-V2-Flash |
|---|---|---|
| Cybench | 5% | — |
Reasoning MiMo-V2-Flash leads
Llama 3-70B: 18.0 (#288), MiMo-V2-Flash: 24.9 (#157)
| Benchmark | Llama 3-70B | MiMo-V2-Flash |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1420 |
| Kagi LLM Benchmark | 35.1% | — |
| CritPt | — | 0% |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.93 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math MiMo-V2-Flash leads
Llama 3-70B: 12.8 (#305), MiMo-V2-Flash: 38.3 (#139)
| Benchmark | Llama 3-70B | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1218 | 1396 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| MATH Level 5 | 22.6% | — |
Knowledge MiMo-V2-Flash leads
Llama 3-70B: 20.8 (#277), MiMo-V2-Flash: 39.7 (#131)
| Benchmark | Llama 3-70B | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1149 | 1425 |
| GPQA Diamond | 40.6% | — |
| MMLU | 79.3% | — |
Multilingual MiMo-V2-Flash leads
Llama 3-70B: 33.6 (#251), MiMo-V2-Flash: 51.0 (#113)
| Benchmark | Llama 3-70B | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1142 | 1392 |
| LMArena Chinese | 1114 | 1462 |
| LMArena French | 1232 | 1429 |
| LMArena German | 1169 | 1395 |
| LMArena Japanese | 1017 | 1325 |
| LMArena Korean | 1017 | 1358 |
| LMArena Russian | 1159 | 1387 |
| LMArena Spanish | 1241 | 1420 |
Instruction Following MiMo-V2-Flash leads
Llama 3-70B: 62.5 (#238), MiMo-V2-Flash: 73.5 (#120)
| Benchmark | Llama 3-70B | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1194 | 1392 |
Long Context MiMo-V2-Flash leads
Llama 3-70B: 35.6 (#240), MiMo-V2-Flash: 43.0 (#110)
| Benchmark | Llama 3-70B | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1174 | 1409 |
Writing & Preference MiMo-V2-Flash leads
Llama 3-70B: 42.8 (#231), MiMo-V2-Flash: 59.7 (#106)
| Benchmark | Llama 3-70B | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1221 | 1411 |
| LMArena Creative Writing | 1210 | 1375 |
| LMArena Multi-Turn | 1223 | 1404 |
Frequently asked questions
Is Llama 3-70B better than MiMo-V2-Flash?
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 28.8 on the Noometry Index.
Is Llama 3-70B or MiMo-V2-Flash better for coding?
They score almost the same on coding (35.8 vs 36.1); test both on your own repository before choosing.
How many benchmarks do Llama 3-70B and MiMo-V2-Flash share?
17 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and MiMo-V2-Flash has 21.