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Gemma 3 12B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 4.0% higher average benchmark score. Gemma 3 12B offers 6.1K more tokens in context window than Mistral Small 3.1 24B Base. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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Gemma 3 12B was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
5 days newer
Gemma 3 12B
2025-03-12
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 12B
Input:$0.05
Output:$0.10($0.25 cheaper)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3 12B
Average Score:50.7%(+4.0%)
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Mistral Small 3.1 24B Base
Average Score:46.8%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Mistral Small 3.1 24B Base
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Gemma 3 12B
Avg Score:50.7%(+4.0%)
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:46.8%
Providers:1