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Phi-3.5-mini-instruct vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
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Alibaba Cloud / Qwen Team
Qwen3-Next 80B Base was introduced as an experimental base model with 80 billion total parameters and 3 billion active parameters. Built to explore advanced mixture-of-experts architectures, it provides a foundation for fine-tuning and research into efficient large-scale model design.
1 year newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
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Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-mini-instruct
1 providers
Azure
Throughput: 23 tok/s
Latency: 0.52ms
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Qwen3-Next-80B-A3B-Base
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Phi-3.5-mini-instruct
Avg Score:0.0%
Providers:1
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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0