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InternS1 vs Llama 4 Behemoth
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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Shanghai AI Lab
InternS1, released by Shanghai AI Laboratory at WAIC 2025 on July 26, 2025, is a multimodal scientific reasoning large language model designed for advanced problem-solving across mathematics, physics, chemistry, and related domains. It supports text, image, and potentially other scientific data formats as input, and demonstrated strong performance on competition-level scientific benchmarks. InternS1 targets open-source scientific research, STEM education, and applications requiring deep domain reasoning across natural science disciplines.
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Meta AI
Llama 4 Behemoth is a research-scale Mixture-of-Experts language model with approximately 2 trillion total parameters (288 billion active per inference), developed by Meta as a teacher model for the Llama 4 family. Available only in limited preview, it serves as the knowledge distillation source for Llama 4 Scout and Maverick. Behemoth targets research applications requiring the largest-scale open-weight model architecture from the Llama 4 generation.
InternS1
Shanghai AI Lab
2025-07-26
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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InternS1
Average Score:-1.0%
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Llama 4 Behemoth
Average Score:-1.0%
Provider Availability & Performance
Available providers and their performance metrics
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InternS1
0 providers
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Llama 4 Behemoth
1 providers
Together AI
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InternS1
Avg Score:-1.0%
Providers:0
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Llama 4 Behemoth
Avg Score:-1.0%
Providers:1