Model Comparison

Llama 3.2 90B Instruct vs Qwen2.5 14B Instruct

Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.2 90B Instruct outperforms in 2 benchmarks (GPQA, MMLU), while Qwen2.5 14B Instruct is better at 1 benchmark (MATH).

Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks.

Fri Apr 17 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 17 2026 • llm-stats.com
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
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

75.3B diff

Llama 3.2 90B Instruct has 75.3B more parameters than Qwen2.5 14B Instruct, making it 512.2% larger.

Meta
Llama 3.2 90B Instruct
90.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
90.0B
Llama 3.2 90B Instruct
14.7B
Qwen2.5 14B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 90B Instruct supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.2 90B Instruct

Text
Images
Audio
Video

Qwen2.5 14B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 90B Instruct is licensed under Llama 3.2, 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 90B Instruct

Llama 3.2

Open weights

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 90B Instruct was released on 2024-09-25, while Qwen2.5 14B Instruct was released on 2024-09-19.

Llama 3.2 90B Instruct is 0 month newer than Qwen2.5 14B Instruct.

Llama 3.2 90B 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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Supports multimodal inputs
Higher GPQA score (46.7% vs 45.5%)
Higher MMLU score (86.0% vs 79.7%)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Higher MATH score (80.0% vs 68.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.2 90B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about Llama 3.2 90B Instruct vs Qwen2.5 14B Instruct

Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks. Llama 3.2 90B 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 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.
Llama 3.2 90B 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 multimodal support (yes vs no), licensing (Llama 3.2 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 3.2 90B Instruct is developed by Meta and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.