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Llama 4 Maverick vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 3.5% higher average benchmark score. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
1 month newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Llama 4 Maverick
Meta
2025-04-05
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Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Llama 4 Maverick
Average Score:75.3%(+3.5%)
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Qwen2.5 VL 32B Instruct
Average Score:71.7%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Maverick
7 providers
DeepInfra
Throughput: 83.59 tok/s
Latency: 0.38ms
Fireworks
Throughput: 63.03 tok/s
Latency: 0.62ms
Groq
Throughput: 307.3 tok/s
Latency: 0.27ms
Lambda
Throughput: 93.69 tok/s
Latency: 0.65ms
Novita
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Llama 4 Maverick
Avg Score:75.3%(+3.5%)
Providers:7
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Qwen2.5 VL 32B Instruct
Avg Score:71.7%
Providers:0