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Llama 3.2 11B Instruct vs QwQ-32B

QwQ-32B significantly outperforms across most benchmarks.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.2 11B Instruct outperforms in 0 benchmarks, while QwQ-32B is better at 1 benchmark (GPQA). QwQ-32B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Llama 3.2 11B Instruct

  • you want predictable pricing at $0.05/M input and $0.05/M output

Choose QwQ-32B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
$0.05 / M
— / M
Output price
$0.05 / M
— / M
Context window
128,000
Released
Sep 2024
Mar 2025
License
Llama 3.2 Community License
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 3.2 11B Instruct outperforms in 0 benchmarks, while QwQ-32B is better at 1 benchmark (GPQA).

QwQ-32B significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

21.9B diff

QwQ-32B has 21.9B more parameters than Llama 3.2 11B Instruct, making it 206.6% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
10.6B
Llama 3.2 11B Instruct
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas QwQ-32B does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.2 11B Instruct

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while QwQ-32B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 11B Instruct was released on 2024-09-25, while QwQ-32B was released on 2025-03-05.

QwQ-32B is 5 months newer than Llama 3.2 11B Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

1.9 years ago

QwQ-32B

Mar 5, 2025

1.5 years ago

5mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a knowledge cutoff of 2023-12-31, while QwQ-32B has a cutoff of 2024-11-28.

QwQ-32B has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).

Llama 3.2 11B Instruct

Dec 2023

QwQ-32B

Nov 2024

11 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Llama 3.2 11B Instruct and QwQ-32B side-by-side, then vote on the output you prefer.

Llama 3.2 11B Instruct
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about Llama 3.2 11B Instruct vs QwQ-32B.

Which is better, Llama 3.2 11B Instruct or QwQ-32B?

QwQ-32B significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is made by Meta and QwQ-32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.2 11B Instruct compare to QwQ-32B in benchmarks?

Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for Llama 3.2 11B Instruct and QwQ-32B?

Llama 3.2 11B Instruct supports 128K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.2 11B Instruct and QwQ-32B?

Key differences include multimodal support (yes vs no), licensing (Llama 3.2 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 11B Instruct and QwQ-32B?

Llama 3.2 11B Instruct is developed by Meta and QwQ-32B is developed by Alibaba Cloud / Qwen Team.