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Gemma 3 12B vs Mistral Small
Comprehensive side-by-side LLM comparison
Gemma 3 12B offers 196.6K more tokens in context window than Mistral Small. Gemma 3 12B is $0.65 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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Mistral AI
Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
5 months newer
Mistral Small
Mistral AI
2024-09-17
Gemma 3 12B
2025-03-12
Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 12B
Input:$0.05
Output:$0.10($0.65 cheaper)
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Mistral Small
Input:$0.20
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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Gemma 3 12B
Average Score:62.5%(+62.5%)
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Mistral Small
Average Score:0.0%
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
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Gemma 3 12B
Avg Score:62.5%(+62.5%)
Providers:1
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Mistral Small
Avg Score:0.0%
Providers:1