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Llama 4 Maverick vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 4.4% 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
Qwen2.5-14B-Instruct is a 14-billion-parameter language model from Alibaba released in September 2024 within the Qwen2.5 family, occupying the mid-tier of the series between efficiency-focused small models and the high-capability 72B flagship. Trained on 18 trillion tokens with emphasis on instruction alignment, code understanding, and multilingual reasoning, it offers a strong performance-to-compute ratio for developers who need more capability than 7B but cannot serve 32B or larger models. The model supports 128K context windows and structured output generation out of the box.
6 months newer
Qwen2.5 14B 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 14B Instruct
Average Score:82.0%(+4.4%)
Performance comparison across key benchmark categories
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Llama 4 Maverick
Coding77.6%
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Qwen2.5 14B Instruct
Coding82.0%(+4.4%)
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 14B Instruct
0 providers
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Llama 4 Maverick
Avg Score:77.6%
Providers:1
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Qwen2.5 14B Instruct
Avg Score:82.0%(+4.4%)
Providers:0