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Llama 4 Scout vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 5.4% higher average benchmark score. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
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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.
9 days newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Llama 4 Scout
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 Scout
Average Score:71.6%(+5.4%)
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Qwen2.5-Omni-7B
Average Score:66.3%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Scout
6 providers
DeepInfra
Throughput: 76.1 tok/s
Latency: 0.31ms
Fireworks
Throughput: 116.1 tok/s
Latency: 0.53ms
Groq
Throughput: 776.1 tok/s
Latency: 1.08ms
Lambda
Throughput: 139.7 tok/s
Latency: 0.43ms
Novita
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Llama 4 Scout
Avg Score:71.6%(+5.4%)
Providers:6
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Qwen2.5-Omni-7B
Avg Score:66.3%
Providers:0