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DeepSeek-V3 0324 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 43.2% higher average benchmark score. DeepSeek-V3 0324 offers 71.7K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $1.22 cheaper per million tokens. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
DeepSeek-V3 0324
DeepSeek
2025-03-25
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3 0324
Input:$0.28
Output:$1.14
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($1.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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DeepSeek-V3 0324
Average Score:10.4%
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Phi-3.5-mini-instruct
Average Score:53.5%(+43.2%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3 0324
1 providers
Novita
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Phi-3.5-mini-instruct
1 providers
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DeepSeek-V3 0324
Avg Score:10.4%
Providers:1
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Phi-3.5-mini-instruct
Avg Score:53.5%(+43.2%)
Providers:1