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Gemini 2.0 Flash Thinking vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 48.3% higher average benchmark score. Overall, Granite 3.3 8B Base 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
Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). 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 IBM's latest advancement in AI technology.
2 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Granite 3.3 8B Base
IBM
2025-04-16
Average performance across 22 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:10.1%
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Granite 3.3 8B Base
Average Score:58.4%(+48.3%)
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
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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Granite 3.3 8B Base
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:10.1%
Providers:0
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Granite 3.3 8B Base
Avg Score:58.4%(+48.3%)
Providers:0