# Llama 3.1-70B vs MiMo-V2-Omni

> MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-70b-vs-mimo-v2-omni
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Llama 3.1-70B scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.4 to 35.4.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.40 / $0.40 for Llama 3.1-70B.
- MiMo-V2-Omni accepts more context: 262K tokens versus 128K.
- Llama 3.1-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 29.6 | 43.6 |
| Rank | 308 | 88 |
| Context | 128K | 262K |
| Input $/M | $0.40 | $0.14 |
| Output $/M | $0.40 | $0.28 |
| Weights | Open | Proprietary |

## Coding

- Llama 3.1-70B: 30.3 (#296)
- MiMo-V2-Omni: 43.3 (#89)

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1260 | 1466 |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |

## Agentic & Tool Use

- Llama 3.1-70B: 25.1 (#112)
- MiMo-V2-Omni: —

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |

## Reasoning

- Llama 3.1-70B: 21.6 (#220)
- MiMo-V2-Omni: 29.7 (#88)

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1445 |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |

## Math

- Llama 3.1-70B: 13.5 (#304)
- MiMo-V2-Omni: 39.1 (#115)

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1252 | 1430 |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| MATH Level 5 | 36.7% | — |

## Knowledge

- Llama 3.1-70B: 24.2 (#269)
- MiMo-V2-Omni: 40.5 (#118)

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1209 | 1449 |
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| MMLU | 80.1% | — |

## Multimodal

- Llama 3.1-70B: —
- MiMo-V2-Omni: 38.6 (#63)

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |

## Multilingual

- Llama 3.1-70B: 38.8 (#225)
- MiMo-V2-Omni: 51.8 (#102)

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1219 | 1404 |
| LMArena Chinese | 1215 | 1465 |
| LMArena French | 1261 | 1447 |
| LMArena German | 1222 | 1399 |
| LMArena Japanese | 1132 | 1317 |
| LMArena Korean | 1140 | 1355 |
| LMArena Russian | 1234 | 1412 |
| LMArena Spanish | 1253 | 1434 |

## Instruction Following

- Llama 3.1-70B: 65.3 (#223)
- MiMo-V2-Omni: 75.2 (#66)

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1231 | 1428 |
| IFEval | 82.1% | — |

## Long Context

- Llama 3.1-70B: 37.6 (#214)
- MiMo-V2-Omni: 44.1 (#76)

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1241 | 1442 |

## Writing & Preference

- Llama 3.1-70B: 35.4 (#267)
- MiMo-V2-Omni: 61.4 (#87)

| Benchmark | Llama 3.1-70B | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1261 | 1423 |
| LMArena Creative Writing | 1232 | 1392 |
| LMArena Multi-Turn | 1256 | 1445 |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |

## FAQ

### Is Llama 3.1-70B better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.6 on the Noometry Index.

### Which is cheaper, Llama 3.1-70B or MiMo-V2-Omni?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Llama 3.1-70B lists at $0.40 and $0.40.

### Is Llama 3.1-70B or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 30.3 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 128K.

### How many benchmarks do Llama 3.1-70B and MiMo-V2-Omni share?

17 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and MiMo-V2-Omni has 18.