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Devstral Small 1.1 vs Gemma 3 4B
Comprehensive side-by-side LLM comparison
Gemma 3 4B offers 6.1K more tokens in context window than Devstral Small 1.1. Both models have similar pricing. Gemma 3 4B 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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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
4 months newer
Gemma 3 4B
2025-03-12
Devstral Small 1.1
Mistral AI
2025-07-11
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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
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Gemma 3 4B
Input:$0.02
Output:$0.04($0.34 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
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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Gemma 3 4B
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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Gemma 3 4B
Avg Score:0.0%
Providers:1