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Gemini 2.0 Flash Thinking vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
IBM Granite 4.0 Tiny Preview leads with 30.8% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, IBM Granite 4.0 Tiny Preview is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
3 months newer
Gemini 2.0 Flash Thinking
2025-01-21
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Average performance across 15 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:14.9%
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IBM Granite 4.0 Tiny Preview
Average Score:45.7%(+30.8%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
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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Gemini 2.0 Flash Thinking
0 providers
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IBM Granite 4.0 Tiny Preview
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:14.9%
Providers:0
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IBM Granite 4.0 Tiny Preview
Avg Score:45.7%(+30.8%)
Providers:0