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Llama 3.1 405B Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 1.4% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Both models have their strengths depending on your specific coding needs.
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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-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.
7 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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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:74.8%(+1.4%)
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Qwen2.5 VL 32B Instruct
Average Score:73.4%
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:74.8%(+1.4%)
Providers:8
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Qwen2.5 VL 32B Instruct
Avg Score:73.4%
Providers:0