Model Comparison

DeepSeek R1 Distill Qwen 7B vs Llama 3.2 11B Instruct

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (GPQA), while Llama 3.2 11B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.

Fri Apr 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 03 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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

3.0B diff

Llama 3.2 11B Instruct has 3.0B more parameters than DeepSeek R1 Distill Qwen 7B, making it 39.1% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
10.6B
Llama 3.2 11B Instruct

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).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Fri Apr 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B 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 7B

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B 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 7B

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 7B was released on 2025-01-20, while Llama 3.2 11B Instruct was released on 2024-09-25.

DeepSeek R1 Distill Qwen 7B is 4 months newer than Llama 3.2 11B Instruct.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.2 years ago

3mo newer
Llama 3.2 11B Instruct

Sep 25, 2024

1.5 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 7B'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 7B's cutoff date.

DeepSeek R1 Distill Qwen 7B

—

Llama 3.2 11B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher GPQA score (49.1% vs 32.8%)
Meta
Larger context window (128,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Llama 3.2 11B Instruct

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 7B 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.
DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.
DeepSeek R1 Distill Qwen 7B supports an unknown number of 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.
Key differences include multimodal support (no vs yes), licensing (MIT vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Llama 3.2 11B Instruct is developed by Meta.