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Llama 4 Maverick vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 6.4% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Overall, Qwen2.5 32B Instruct is the stronger choice for coding tasks.
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Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
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Alibaba / Qwen
Qwen2.5-32B-Instruct is a 32-billion-parameter open-weight model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens. The model is positioned as a high-capability option for developers with access to multi-GPU setups or high-VRAM hardware, offering strong performance on coding, structured reasoning, and multilingual tasks while remaining fully open under Apache 2.0. Its 128K context window and support for structured output generation made it a popular choice for document processing and agentic workflows in the open-source community.
6 months newer
Qwen2.5 32B Instruct
Alibaba / Qwen
2024-09-19
Llama 4 Maverick
Meta AI
2025-04-05
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Llama 4 Maverick
Average Score:77.6%
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Qwen2.5 32B Instruct
Average Score:84.0%(+6.4%)
Performance comparison across key benchmark categories
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Llama 4 Maverick
Coding77.6%
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Qwen2.5 32B Instruct
Coding84.0%(+6.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Maverick
1 providers
Together AI
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Qwen2.5 32B Instruct
0 providers
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Llama 4 Maverick
Avg Score:77.6%
Providers:1
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Qwen2.5 32B Instruct
Avg Score:84.0%(+6.4%)
Providers:0