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Gemma 3 12B vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 27.6% higher average benchmark score. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
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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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IBM
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.
1 month newer
Gemma 3 12B
2025-03-12
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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Gemma 3 12B
Average Score:47.8%(+27.6%)
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IBM Granite 4.0 Tiny Preview
Average Score:20.1%
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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IBM Granite 4.0 Tiny Preview
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Gemma 3 12B
Avg Score:47.8%(+27.6%)
Providers:1
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IBM Granite 4.0 Tiny Preview
Avg Score:20.1%
Providers:0