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Devstral Medium vs Phi 4
Comprehensive side-by-side LLM comparison
Devstral Medium offers 224.0K more tokens in context window than Phi 4. Phi 4 is $2.19 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Devstral Medium was created as a development-focused model, designed to assist with software engineering workflows and developer-centric tasks. Built to provide balanced capability for coding, debugging, and technical documentation, it serves as a versatile tool for professional development environments.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
7 months newer
Phi 4
Microsoft
2024-12-12
Devstral Medium
Mistral AI
2025-07-10
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Pricing Comparison
Cost per million tokens (USD)
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Devstral Medium
Input:$0.40
Output:$2.00
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Phi 4
Input:$0.07
Output:$0.14($2.19 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Phi 4
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Devstral Medium
Avg Score:0.0%
Providers:1
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Phi 4
Avg Score:0.0%
Providers:1