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Gemma 3 12B vs Ministral 8B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 39.9% higher average benchmark score. Gemma 3 12B offers 6.1K more tokens in context window than Ministral 8B Instruct. Both models have similar pricing. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
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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
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
4 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Gemma 3 12B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 12B
Input:$0.05
Output:$0.10($0.05 cheaper)
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Ministral 8B Instruct
Input:$0.10
Output:$0.10
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3 12B
Average Score:84.6%(+39.9%)
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Ministral 8B Instruct
Average Score:44.6%
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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Ministral 8B Instruct
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Gemma 3 12B
Avg Score:84.6%(+39.9%)
Providers:1
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Ministral 8B Instruct
Avg Score:44.6%
Providers:1