Model Comparison

Llama 3.2 3B Instruct vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Llama 3.2 3B Instruct outperforms in 1 benchmarks (ARC-C), while Qwen2.5 14B Instruct is better at 4 benchmarks (GPQA, GSM8k, MATH, MMLU).

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

Thu Apr 16 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
Thu Apr 16 2026 • llm-stats.com
Meta
Llama 3.2 3B Instruct
Input tokens$0.01
Output tokens$0.02
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

11.5B diff

Qwen2.5 14B Instruct has 11.5B more parameters than Llama 3.2 3B Instruct, making it 357.9% larger.

Meta
Llama 3.2 3B Instruct
3.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
3.2B
Llama 3.2 3B Instruct
14.7B
Qwen2.5 14B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.2 3B Instruct is licensed under Llama 3.2 Community License, while Qwen2.5 14B Instruct uses Apache 2.0.

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

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 3B Instruct was released on 2024-09-25, while Qwen2.5 14B Instruct was released on 2024-09-19.

Llama 3.2 3B Instruct is 0 month newer than Qwen2.5 14B Instruct.

Llama 3.2 3B Instruct

Sep 25, 2024

1.6 years ago

6d newer
Qwen2.5 14B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Higher ARC-C score (78.6% vs 67.3%)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (45.5% vs 32.8%)
Higher GSM8k score (94.8% vs 77.7%)
Higher MATH score (80.0% vs 48.0%)
Higher MMLU score (79.7% vs 63.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.2 3B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about Llama 3.2 3B Instruct vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct significantly outperforms across most benchmarks. Llama 3.2 3B Instruct is made by Meta and Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.
Llama 3.2 3B Instruct supports 128K tokens and Qwen2.5 14B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Llama 3.2 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 3.2 3B Instruct is developed by Meta and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.