# Llama 3.2 3B vs MiMo-V2-Pro

> MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 28.9 on the Noometry Index. Llama 3.2 3B costs 4.5× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.

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

## Summary

- They share 13 benchmarks with published results for both. Llama 3.2 3B scores higher in 0 categories and MiMo-V2-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 24.7.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 131K.
- Llama 3.2 3B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 28.9 | 43.0 |
| Rank | 321 | 103 |
| Context | 131K | 1.05M |
| Input $/M | $0.05 | $0.43 |
| Output $/M | $0.33 | $0.87 |
| Weights | Open | Proprietary |

## Coding

- Llama 3.2 3B: 27.6 (#319)
- MiMo-V2-Pro: 43.8 (#83)

| Benchmark | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1098 | 1476 |
| LMArena WebDev | — | 1433 |
| BigCodeBench Instruct | 23.4% | — |
| BigCodeBench Complete | 28.3% | — |
| ALE-Bench | — | 785.17 |

## Agentic & Tool Use

- Llama 3.2 3B: 20.1 (#143)
- MiMo-V2-Pro: —

| Benchmark | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |

## Reasoning

- Llama 3.2 3B: 21.0 (#228)
- MiMo-V2-Pro: 22.1 (#206)

| Benchmark | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1095 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |

## Math

- Llama 3.2 3B: 32.4 (#214)
- MiMo-V2-Pro: 39.5 (#102)

| Benchmark | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1126 | 1447 |

## Knowledge

- Llama 3.2 3B: 29.7 (#235)
- MiMo-V2-Pro: 41.4 (#111)

| Benchmark | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1090 | 1478 |

## Multilingual

- Llama 3.2 3B: 26.2 (#281)
- MiMo-V2-Pro: 52.7 (#81)

| Benchmark | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1019 | 1416 |
| LMArena Chinese | 1017 | 1456 |
| LMArena German | 1056 | 1417 |
| LMArena Russian | 949 | 1427 |
| LMArena French | — | 1469 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Spanish | — | 1457 |

## Instruction Following

- Llama 3.2 3B: 56.0 (#275)
- MiMo-V2-Pro: 76.0 (#49)

| Benchmark | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1089 | 1445 |

## Long Context

- Llama 3.2 3B: 33.4 (#261)
- MiMo-V2-Pro: 41.5 (#138)

| Benchmark | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1100 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |

## Writing & Preference

- Llama 3.2 3B: 24.7 (#307)
- MiMo-V2-Pro: 62.8 (#70)

| Benchmark | Llama 3.2 3B | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1110 | 1436 |
| LMArena Creative Writing | 1094 | 1415 |
| LMArena Multi-Turn | 1105 | 1456 |
| EQ-Bench Creative Writing | 595 | — |

## FAQ

### Is Llama 3.2 3B better than MiMo-V2-Pro?

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 28.9 on the Noometry Index. Llama 3.2 3B costs 4.5× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.

### Which is cheaper, Llama 3.2 3B or MiMo-V2-Pro?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.

### Is Llama 3.2 3B or MiMo-V2-Pro better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 27.6 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 131K.

### How many benchmarks do Llama 3.2 3B and MiMo-V2-Pro share?

13 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and MiMo-V2-Pro has 23.