# Llama 3.2 1B vs MiMo-V2-Flash

> MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 20.1 on the Noometry Index. Llama 3.2 1B costs 2.5× less per token, which makes it the better buy when MiMo-V2-Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-2-1b-vs-mimo-v2-flash
- Last updated: 2026-10-11
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Llama 3.2 1B 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 21.3.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Flash.
- MiMo-V2-Flash accepts more context: 262K tokens versus 60K.

## Snapshot

| | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 20.1 | 41.3 |
| Rank | 354 | 138 |
| Context | 60K | 262K |
| Input $/M | $0.027 | $0.14 |
| Output $/M | $0.20 | $0.28 |
| Weights | Open | Open |

## Coding

- Llama 3.2 1B: 21.1 (#338)
- MiMo-V2-Flash: 36.1 (#211)

| Benchmark | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| LMArena Coding | 1070 | 1443 |
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| BigCodeBench Instruct | 8.2% | — |
| BigCodeBench Complete | 11.3% | — |
| ALE-Bench | — | 737.95 |

## Agentic & Tool Use

- Llama 3.2 1B: 14.6 (#150)
- MiMo-V2-Flash: —

| Benchmark | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |

## Reasoning

- Llama 3.2 1B: 16.2 (#308)
- MiMo-V2-Flash: 24.9 (#157)

| Benchmark | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| LMArena Hard Prompts | 1044 | 1420 |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 101.99 | — |

## Math

- Llama 3.2 1B: 10.4 (#313)
- MiMo-V2-Flash: 38.3 (#139)

| Benchmark | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1086 | 1396 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |

## Knowledge

- Llama 3.2 1B: 7.2 (#312)
- MiMo-V2-Flash: 39.7 (#131)

| Benchmark | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1007 | 1425 |
| GPQA Diamond | 23.9% | — |

## Multilingual

- Llama 3.2 1B: 23.8 (#292)
- MiMo-V2-Flash: 51.0 (#113)

| Benchmark | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 973 | 1392 |
| LMArena Chinese | 959 | 1462 |
| LMArena German | 1014 | 1395 |
| LMArena Russian | 941 | 1387 |
| LMArena French | — | 1429 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1358 |
| LMArena Spanish | — | 1420 |

## Instruction Following

- Llama 3.2 1B: 52.4 (#290)
- MiMo-V2-Flash: 73.5 (#120)

| Benchmark | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1031 | 1392 |

## Long Context

- Llama 3.2 1B: 31.9 (#274)
- MiMo-V2-Flash: 43.0 (#110)

| Benchmark | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1050 | 1409 |

## Writing & Preference

- Llama 3.2 1B: 21.3 (#310)
- MiMo-V2-Flash: 59.7 (#106)

| Benchmark | Llama 3.2 1B | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1055 | 1411 |
| LMArena Creative Writing | 1033 | 1375 |
| LMArena Multi-Turn | 1030 | 1404 |
| EQ-Bench Creative Writing | 200 | — |

## FAQ

### Is Llama 3.2 1B better than MiMo-V2-Flash?

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 20.1 on the Noometry Index. Llama 3.2 1B costs 2.5× less per token, which makes it the better buy when MiMo-V2-Flash's lead doesn't matter for your workload.

### Which is cheaper, Llama 3.2 1B or MiMo-V2-Flash?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; MiMo-V2-Flash lists at $0.14 and $0.28.

### Is Llama 3.2 1B or MiMo-V2-Flash better for coding?

MiMo-V2-Flash scores higher on coding benchmarks: 36.1 versus 21.1 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 60K.

### How many benchmarks do Llama 3.2 1B and MiMo-V2-Flash share?

13 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and MiMo-V2-Flash has 21.