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Devstral Small 1.1 vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano offers 272.0K more tokens in context window than Devstral Small 1.1. Both models have similar pricing. GPT-5 nano 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 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
27 days newer
Devstral Small 1.1
Mistral AI
2025-07-11
GPT-5 nano
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($0.05 cheaper)
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GPT-5 nano
Input:$0.05
Output:$0.40
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
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 nano
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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GPT-5 nano
Avg Score:0.0%
Providers:2