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Phi-3.5-mini-instruct vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 41.1% higher average benchmark score. Phi-3.5-mini-instruct offers 124.9K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. Phi-3.5-mini-instruct is $1.45 cheaper per million tokens. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
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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 Thinking was created as a reasoning-enhanced variant, designed to incorporate extended analytical capabilities into the Qwen3-Next architecture. Built to handle complex problem-solving with mixture-of-experts efficiency, it serves applications requiring both deep reasoning and computational practicality.
1 year newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
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Pricing Comparison
Cost per million tokens (USD)
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($1.45 cheaper)
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Qwen3-Next-80B-A3B-Thinking
Input:$0.15
Output:
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Phi-3.5-mini-instruct
Average Score:38.9%
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Qwen3-Next-80B-A3B-Thinking
Average Score:80.0%(+41.1%)
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-Thinking
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Phi-3.5-mini-instruct
Avg Score:38.9%
Providers:1
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Qwen3-Next-80B-A3B-Thinking
Avg Score:80.0%(+41.1%)
Providers:1