+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.2 90B Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 4.1% higher average benchmark score. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
+
+
+
+
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.
5 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
+
+
+
+
Llama 3.2 90B Instruct
Average Score:66.0%
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:70.2%(+4.1%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 3.2 90B Instruct
5 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 24 tok/s
Latency: 0.5ms
Fireworks
Throughput: 50 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 42 tok/s
Latency: 0.5ms
Together
+
+
+
+
Llama 3.2 90B Instruct
Avg Score:66.0%
Providers:5
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:70.2%(+4.1%)
Providers:0