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Gemma 3 4B vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
Gemma 3 4B offers 6.1K more tokens in context window than Mistral NeMo Instruct. 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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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
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
7 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
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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Mistral NeMo Instruct
Input:$0.15
Output:$0.15
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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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Mistral NeMo Instruct
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Gemma 3 4B
Avg Score:0.0%
Providers:1
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Mistral NeMo Instruct
Avg Score:0.0%
Providers:2