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Gemini 1.5 Pro vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 10.4% higher average benchmark score. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
11 months newer
Gemini 1.5 Pro
2024-05-01
Granite 3.3 8B Base
IBM
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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Gemini 1.5 Pro
Average Score:45.1%(+10.4%)
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Granite 3.3 8B Base
Average Score:34.7%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
Granite 3.3 8B Base
2024-04-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Granite 3.3 8B Base
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Gemini 1.5 Pro
Avg Score:45.1%(+10.4%)
Providers:1
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Granite 3.3 8B Base
Avg Score:34.7%
Providers:0