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Gemma 3 4B vs Mistral Small
Comprehensive side-by-side LLM comparison
Gemma 3 4B offers 196.6K more tokens in context window than Mistral Small. Gemma 3 4B is $0.74 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). 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 4B
2025-03-12
Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($0.74 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 4B
Average Score:53.0%(+53.0%)
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Mistral Small
Average Score:0.0%
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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 Small
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Gemma 3 4B
Avg Score:53.0%(+53.0%)
Providers:1
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Mistral Small
Avg Score:0.0%
Providers:1