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Devstral Small 1.1 vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GPT-5 mini offers 272.0K more tokens in context window than Devstral Small 1.1. Devstral Small 1.1 is $1.85 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Devstral Small was developed as a more efficient development-focused model, designed to bring software engineering assistance to resource-conscious deployments. Built to provide coding capabilities with reduced computational requirements, it enables developer tools in environments where efficiency is paramount.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
27 days newer
Devstral Small 1.1
Mistral AI
2025-07-11
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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Devstral Small 1.1
Input:$0.10
Output:$0.30($1.85 cheaper)
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GPT-5 mini
Input:$0.25
Output:$2.00
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
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 Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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GPT-5 mini
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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GPT-5 mini
Avg Score:0.0%
Providers:2