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Llama 3.1 405B Instruct vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 13.4% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
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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.
8 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 3.1 405B Instruct
Average Score:76.7%(+13.4%)
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Qwen2.5-Omni-7B
Average Score:63.3%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 405B Instruct
8 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 27 tok/s
Latency: 0.5ms
Fireworks
Throughput: 78 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
Hyperbolic
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Llama 3.1 405B Instruct
Avg Score:76.7%(+13.4%)
Providers:8
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Qwen2.5-Omni-7B
Avg Score:63.3%
Providers:0