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Devstral Small 1.1 vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base 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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IBM
Granite 3.3 8B Base was developed by IBM as an enterprise-focused foundation model, designed to provide a reliable starting point for business applications. Built with 8 billion parameters and trained on curated data, it serves as a foundation for domain-specific customization in enterprise contexts.
2 months newer
Granite 3.3 8B Base
IBM
2025-04-16
Devstral Small 1.1
Mistral AI
2025-07-11
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
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 Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Granite 3.3 8B Base
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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Granite 3.3 8B Base
Avg Score:0.0%
Providers:0