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Gemma 3 4B vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 27.6% higher average benchmark score. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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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 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). 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 Mistral AI's latest advancement in AI technology.
5 days newer
Gemma 3 4B
2025-03-12
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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Gemma 3 4B
Average Score:47.5%(+27.6%)
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Mistral Small 3.1 24B Instruct
Average Score:19.9%
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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 3.1 24B Instruct
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Gemma 3 4B
Avg Score:47.5%(+27.6%)
Providers:1
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Mistral Small 3.1 24B Instruct
Avg Score:19.9%
Providers:0