+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.2 90B Instruct vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
6 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
+
+
+
+
Llama 3.2 90B Instruct
Average Score:68.8%(+0.5%)
+
+
+
+
Qwen2.5-Omni-7B
Average Score:68.2%
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:68.8%(+0.5%)
Providers:5
+
+
+
+
Qwen2.5-Omni-7B
Avg Score:68.2%
Providers:0