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Granite 3.3 8B Base vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 15.4% higher average benchmark score. Llama 4 Scout is available on 6 providers. Overall, Granite 3.3 8B Base is the stronger choice for coding tasks.
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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.
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Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
11 days newer
Llama 4 Scout
Meta
2025-04-05
Granite 3.3 8B Base
IBM
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Granite 3.3 8B Base
Average Score:41.5%(+15.4%)
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Llama 4 Scout
Average Score:26.0%
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Knowledge Cutoff
Training data recency comparison
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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Granite 3.3 8B Base
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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Granite 3.3 8B Base
Avg Score:41.5%(+15.4%)
Providers:0
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Llama 4 Scout
Avg Score:26.0%
Providers:6