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Llama 4 Maverick vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 1.6% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
Qwen2.5-7B-Instruct is a 7-billion-parameter open-weight language model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens with improved code, math, and multilingual coverage. The model delivers significantly stronger instruction-following, structured output generation, and long-context handling compared to its predecessor, supporting 128K context windows in a compact form factor. It became widely adopted as a foundation for fine-tuning, RAG pipelines, and on-device deployment due to its balance of capability and efficiency.
6 months newer
Qwen2.5 7B 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 7B Instruct
Average Score:79.2%(+1.6%)
Performance comparison across key benchmark categories
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Llama 4 Maverick
Coding77.6%
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Qwen2.5 7B Instruct
Coding79.2%(+1.6%)
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 7B Instruct
0 providers
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Llama 4 Maverick
Avg Score:77.6%
Providers:1
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Qwen2.5 7B Instruct
Avg Score:79.2%(+1.6%)
Providers:0