+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 4 Maverick vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 2.5% higher average benchmark score. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-VL 72B was created as the flagship vision-language model in the Qwen 2.5 series, designed to provide advanced multimodal understanding. Built with 72 billion parameters optimized for visual and textual reasoning, it represents Qwen's most capable offering for tasks requiring integrated image and language processing.
2 months newer
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Llama 4 Maverick
Meta
2025-04-05
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
+
+
+
+
Llama 4 Maverick
Average Score:79.3%(+2.5%)
+
+
+
+
Qwen2.5 VL 72B Instruct
Average Score:76.8%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
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
+
+
+
+
Llama 4 Maverick
Avg Score:79.3%(+2.5%)
Providers:7
+
+
+
+
Qwen2.5 VL 72B Instruct
Avg Score:76.8%
Providers:0