Model Comparison

DeepSeek R1 Distill Qwen 32B vs Llama 3.2 11B Instruct

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is 2.7x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Llama 3.2 11B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.4x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 3.6x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

In conclusion, DeepSeek R1 Distill Qwen 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 May 25 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

22.2B diff

DeepSeek R1 Distill Qwen 32B has 22.2B more parameters than Llama 3.2 11B Instruct, making it 209.4% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
10.6B
Llama 3.2 11B Instruct

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.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 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.

DeepSeek R1 Distill Qwen 32B

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Llama 3.2 11B Instruct was released on 2024-09-25.

DeepSeek R1 Distill Qwen 32B is 4 months newer than Llama 3.2 11B Instruct.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.3 years ago

3mo newer
Llama 3.2 11B Instruct

Sep 25, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while DeepSeek R1 Distill Qwen 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 DeepSeek R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

Llama 3.2 11B Instruct

Dec 2023

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher GPQA score (62.1% vs 32.8%)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Llama 3.2 11B Instruct.

Which is better, DeepSeek R1 Distill Qwen 32B or Llama 3.2 11B Instruct?

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Llama 3.2 11B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 32B compare to Llama 3.2 11B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

Is DeepSeek R1 Distill Qwen 32B cheaper than Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct is 2.4x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output via deepinfra.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Llama 3.2 11B Instruct?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and Llama 3.2 11B Instruct 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 DeepSeek R1 Distill Qwen 32B and Llama 3.2 11B Instruct?

Key differences include input pricing ($0.12 vs $0.05/M), multimodal support (no vs yes), licensing (MIT vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Llama 3.2 11B Instruct?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Llama 3.2 11B Instruct is developed by Meta.