# Llama 3.2 3B vs Qwen3.6 Flash

> Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 28.9 on the Noometry Index. Llama 3.2 3B costs 3.5× less per token, which makes it the better buy when Qwen3.6 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-2-3b-vs-qwen3-6-flash
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Qwen3.6 Flash leads 42.1 to 29.7.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.19 / $1.13 for Qwen3.6 Flash.
- Qwen3.6 Flash accepts more context: 1M tokens versus 131K.
- Llama 3.2 3B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.9 | 38.8 |
| Rank | 321 | 182 |
| Context | 131K | 1M |
| Input $/M | $0.05 | $0.19 |
| Output $/M | $0.33 | $1.13 |
| Weights | Open | Proprietary |

## Coding

- Llama 3.2 3B: 27.6 (#319)
- Qwen3.6 Flash: —

| Benchmark | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| BigCodeBench Instruct | 23.4% | — |
| LMArena Coding | 1098 | — |
| BigCodeBench Complete | 28.3% | — |
| ALE-Bench | — | 326.4 |

## Agentic & Tool Use

- Llama 3.2 3B: 20.1 (#143)
- Qwen3.6 Flash: —

| Benchmark | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |

## Reasoning

- Llama 3.2 3B: 21.0 (#228)
- Qwen3.6 Flash: 29.0 (#96)

| Benchmark | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| SimpleBench | — | 35.2% |
| Chess Puzzles | — | 20% |
| LMArena Hard Prompts | 1095 | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 77.1% |
| LMCA | — | 31% |
| Epoch Capabilities Index | — | 143.26 |

## Math

- Llama 3.2 3B: 32.4 (#214)
- Qwen3.6 Flash: 39.0 (#117)

| Benchmark | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 22.5% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| LMArena Math | 1126 | — |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Llama 3.2 3B: 29.7 (#235)
- Qwen3.6 Flash: 42.1 (#100)

| Benchmark | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 15.9% |
| LMArena Expert | 1090 | — |

## Multilingual

- Llama 3.2 3B: 26.2 (#281)
- Qwen3.6 Flash: —

| Benchmark | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| LMArena Non-English | 1019 | — |
| LMArena Chinese | 1017 | — |
| LMArena German | 1056 | — |
| LMArena Russian | 949 | — |

## Instruction Following

- Llama 3.2 3B: 56.0 (#275)
- Qwen3.6 Flash: —

| Benchmark | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| LMArena Instruction Following | 1089 | — |

## Long Context

- Llama 3.2 3B: 33.4 (#261)
- Qwen3.6 Flash: —

| Benchmark | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| LMArena Longer Query | 1100 | — |

## Writing & Preference

- Llama 3.2 3B: 24.7 (#307)
- Qwen3.6 Flash: —

| Benchmark | Llama 3.2 3B | Qwen3.6 Flash |
|---|---|---|
| LMArena Text | 1110 | — |
| LMArena Creative Writing | 1094 | — |
| EQ-Bench Creative Writing | 595 | — |
| LMArena Multi-Turn | 1105 | — |

## FAQ

### Is Llama 3.2 3B better than Qwen3.6 Flash?

Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 28.9 on the Noometry Index. Llama 3.2 3B costs 3.5× less per token, which makes it the better buy when Qwen3.6 Flash's lead doesn't matter for your workload.

### Which is cheaper, Llama 3.2 3B or Qwen3.6 Flash?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Qwen3.6 Flash lists at $0.19 and $1.13.

### Which has the bigger context window?

Qwen3.6 Flash does, with 1M tokens against 131K.

### How many benchmarks do Llama 3.2 3B and Qwen3.6 Flash share?

0 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Qwen3.6 Flash has 13.