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IBM Granite 4.0 Tiny Preview vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 19.2% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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IBM
Granite 4.0 Tiny Preview was introduced as an experimental ultra-compact model, designed to demonstrate IBM's progress in efficient model development. Built to explore the boundaries of what small models can achieve for enterprise applications, it represents an early look at next-generation Granite capabilities.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
27 days newer
Llama 4 Scout
Meta
2025-04-05
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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IBM Granite 4.0 Tiny Preview
Average Score:60.4%
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Llama 4 Scout
Average Score:79.6%(+19.2%)
Provider Availability & Performance
Available providers and their performance metrics
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IBM Granite 4.0 Tiny Preview
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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IBM Granite 4.0 Tiny Preview
Avg Score:60.4%
Providers:0
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Llama 4 Scout
Avg Score:79.6%(+19.2%)
Providers:6