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Gemma 3 4B vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 5.6% higher average benchmark score. Gemma 3 4B offers 126.0K more tokens in context window than Pixtral-12B. Both models have similar pricing. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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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.
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Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
5 months newer
Pixtral-12B
Mistral AI
2024-09-17
Gemma 3 4B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($0.24 cheaper)
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Pixtral-12B
Input:$0.15
Output:$0.15
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemma 3 4B
Average Score:76.3%(+5.6%)
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Pixtral-12B
Average Score:70.8%
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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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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Pixtral-12B
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Gemma 3 4B
Avg Score:76.3%(+5.6%)
Providers:1
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Pixtral-12B
Avg Score:70.8%
Providers:1