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Devstral Medium vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
Devstral Medium leads with 38.0% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Devstral Medium. Both models have similar pricing. GPT-4.1 mini supports multimodal inputs. Overall, Devstral Medium is the stronger choice for coding tasks.
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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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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
2 months newer
GPT-4.1 mini
OpenAI
2025-04-14
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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GPT-4.1 mini
Input:$0.40
Output:$1.60($0.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Devstral Medium
Average Score:61.6%(+38.0%)
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GPT-4.1 mini
Average Score:23.6%
Performance comparison across key benchmark categories
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Devstral Medium
Coding61.6%(+38.0%)
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GPT-4.1 mini
Coding23.6%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
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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GPT-4.1 mini
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Devstral Medium
Avg Score:61.6%(+38.0%)
Providers:1
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GPT-4.1 mini
Avg Score:23.6%
Providers:2