Model Comparison

Llama 3.2 11B Instruct vs Qwen3 32BWhich is better in 2026?

Comparing Llama 3.2 11B Instruct and Qwen3 32B across benchmarks, pricing, and capabilities.

Verdict: Llama 3.2 11B Instruct vs Qwen3 32B — which is better?

Llama 3.2 11B Instruct (by Meta) and Qwen3 32B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Llama 3.2 11B Instruct is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Llama 3.2 11B Instruct if…

  • cost matters — it's about 3.0x cheaper per token

Choose Qwen3 32B if…

  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 3.2 11B Instruct and Qwen3 32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 2.0x cheaper than Qwen3 32B ($0.10/1M tokens).

For output processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 6.0x cheaper than Qwen3 32B ($0.30/1M tokens).

In conclusion, Qwen3 32B is more expensive than Llama 3.2 11B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jun 08 2026 • llm-stats.com
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

22.2B diff

Qwen3 32B has 22.2B more parameters than Llama 3.2 11B Instruct, making it 209.4% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
10.6B
Llama 3.2 11B Instruct
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Mon Jun 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas Qwen3 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

Qwen3 32B

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Qwen3 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

Qwen3 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 Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 7 months newer than Llama 3.2 11B Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

1.7 years ago

Qwen3 32B

Apr 29, 2025

1.1 years ago

7mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3 32B's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 32B's cutoff date.

Llama 3.2 11B Instruct

Dec 2023

Qwen3 32B

Provider Availability

Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.2 11B Instruct
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about Llama 3.2 11B Instruct vs Qwen3 32B.

Which is better, Llama 3.2 11B Instruct or Qwen3 32B?

Llama 3.2 11B Instruct (Meta) and Qwen3 32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Llama 3.2 11B Instruct compare to Qwen3 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%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

Is Llama 3.2 11B Instruct cheaper than Qwen3 32B?

Llama 3.2 11B Instruct is 2.0x cheaper for input tokens. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output via deepinfra. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.

What are the context window sizes for Llama 3.2 11B Instruct and Qwen3 32B?

Llama 3.2 11B Instruct supports 128K tokens and Qwen3 32B supports 128K 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 Qwen3 32B?

Key differences include input pricing ($0.05 vs $0.10/M), 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 Qwen3 32B?

Llama 3.2 11B Instruct is developed by Meta and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.