Model comparison
Llama 3-70B vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 43.6 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-Omni in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2-Omni leads 39.1 to 12.8.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-70B | MiMo-V2-Omni | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 28.8 | 43.6 |
| Released | 2024-04-18 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | — | 262K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 31 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
Llama 3-70B: 35.8 (#218), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1206 | 1466 |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Not comparable
Llama 3-70B: 21.1 (#139), MiMo-V2-Omni: —
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| Cybench | 5% | — |
Reasoning MiMo-V2-Omni leads
Llama 3-70B: 18.0 (#288), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1445 |
| Kagi LLM Benchmark | 35.1% | — |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.93 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math MiMo-V2-Omni leads
Llama 3-70B: 12.8 (#305), MiMo-V2-Omni: 39.1 (#115)
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1218 | 1430 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| MATH Level 5 | 22.6% | — |
Knowledge MiMo-V2-Omni leads
Llama 3-70B: 20.8 (#277), MiMo-V2-Omni: 40.5 (#118)
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1149 | 1449 |
| GPQA Diamond | 40.6% | — |
| MMLU | 79.3% | — |
Multimodal Not comparable
Llama 3-70B: —, MiMo-V2-Omni: 38.6 (#63)
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
Multilingual MiMo-V2-Omni leads
Llama 3-70B: 33.6 (#251), MiMo-V2-Omni: 51.8 (#102)
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1142 | 1404 |
| LMArena Chinese | 1114 | 1465 |
| LMArena French | 1232 | 1447 |
| LMArena German | 1169 | 1399 |
| LMArena Japanese | 1017 | 1317 |
| LMArena Korean | 1017 | 1355 |
| LMArena Russian | 1159 | 1412 |
| LMArena Spanish | 1241 | 1434 |
Instruction Following MiMo-V2-Omni leads
Llama 3-70B: 62.5 (#238), MiMo-V2-Omni: 75.2 (#66)
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1194 | 1428 |
Long Context MiMo-V2-Omni leads
Llama 3-70B: 35.6 (#240), MiMo-V2-Omni: 44.1 (#76)
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1174 | 1442 |
Writing & Preference MiMo-V2-Omni leads
Llama 3-70B: 42.8 (#231), MiMo-V2-Omni: 61.4 (#87)
| Benchmark | Llama 3-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1221 | 1423 |
| LMArena Creative Writing | 1210 | 1392 |
| LMArena Multi-Turn | 1223 | 1445 |
Frequently asked questions
Is Llama 3-70B better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 28.8 on the Noometry Index.
Is Llama 3-70B or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 35.8 in the Noometry coding category.
How many benchmarks do Llama 3-70B and MiMo-V2-Omni share?
17 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and MiMo-V2-Omni has 18.