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Phi-3.5-mini-instruct vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 25.1% higher average benchmark score. Both models have similar pricing. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B 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 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
8 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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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
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Qwen3 235B A22B
Input:$0.10
Output:$0.10
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Phi-3.5-mini-instruct
Average Score:54.6%
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Qwen3 235B A22B
Average Score:79.7%(+25.1%)
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 235B A22B
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Phi-3.5-mini-instruct
Avg Score:54.6%
Providers:1
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Qwen3 235B A22B
Avg Score:79.7%(+25.1%)
Providers:4