# Llama 3.2 1B vs MiMo-V2.6-Pro

> MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 19.9 on the Noometry Index. Llama 3.2 1B costs 7.7× less per token, which makes it the better buy when MiMo-V2.6-Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-2-1b-vs-mimo-v2-6-pro
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Llama 3.2 1B scores higher in 0 categories and MiMo-V2.6-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.6-Pro leads 66.9 to 21.4.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 60K.

## Snapshot

| | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 19.9 | 46.7 |
| Rank | 349 | 55 |
| Context | 60K | 1.05M |
| Input $/M | $0.027 | $0.43 |
| Output $/M | $0.20 | $0.87 |
| Weights | Open | Open |

## Coding

- Llama 3.2 1B: 20.6 (#333)
- MiMo-V2.6-Pro: 53.2 (#27)

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1071 | 1538 |
| LMArena WebDev | — | 1618 |
| BigCodeBench Instruct | 8.2% | — |
| BigCodeBench Complete | 11.3% | — |

## Agentic & Tool Use

- Llama 3.2 1B: 14.5 (#142)
- MiMo-V2.6-Pro: —

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |

## Reasoning

- Llama 3.2 1B: 15.6 (#304)
- MiMo-V2.6-Pro: 30.4 (#76)

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1044 | 1511 |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 101.95 | — |

## Math

- Llama 3.2 1B: 9.7 (#308)
- MiMo-V2.6-Pro: 37.9 (#91)

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1086 | 1497 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |

## Knowledge

- Llama 3.2 1B: 7.2 (#307)
- MiMo-V2.6-Pro: 43.0 (#85)

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1007 | 1548 |
| GPQA Diamond | 23.9% | — |

## Multimodal

- Llama 3.2 1B: —
- MiMo-V2.6-Pro: 40.2 (#40)

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1265 |

## Multilingual

- Llama 3.2 1B: 23.9 (#287)
- MiMo-V2.6-Pro: 57.0 (#15)

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 973 | 1474 |
| LMArena Chinese | 958 | 1532 |
| LMArena Russian | 941 | 1481 |
| LMArena German | 1014 | — |

## Instruction Following

- Llama 3.2 1B: 52.6 (#285)
- MiMo-V2.6-Pro: 78.2 (#10)

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1031 | 1490 |

## Long Context

- Llama 3.2 1B: 31.9 (#269)
- MiMo-V2.6-Pro: 46.0 (#26)

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1050 | 1500 |

## Writing & Preference

- Llama 3.2 1B: 21.4 (#305)
- MiMo-V2.6-Pro: 66.9 (#32)

| Benchmark | Llama 3.2 1B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1055 | 1491 |
| LMArena Creative Writing | 1033 | 1465 |
| LMArena Multi-Turn | 1030 | 1463 |
| EQ-Bench Creative Writing | 200 | — |

## FAQ

### Is Llama 3.2 1B better than MiMo-V2.6-Pro?

MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 19.9 on the Noometry Index. Llama 3.2 1B costs 7.7× less per token, which makes it the better buy when MiMo-V2.6-Pro's lead doesn't matter for your workload.

### Which is cheaper, Llama 3.2 1B or MiMo-V2.6-Pro?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; MiMo-V2.6-Pro lists at $0.43 and $0.87.

### Is Llama 3.2 1B or MiMo-V2.6-Pro better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 53.2 versus 20.6 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 60K.

### How many benchmarks do Llama 3.2 1B and MiMo-V2.6-Pro share?

12 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and MiMo-V2.6-Pro has 14.