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It is a frontier-class multimodal language model on par with leading models in the industry today. Core was efficiently trained from scratch on thousands of GPUs over a period of a few months. Performance highlights Core is competitive with models from OpenAI, Anthropic, and Google across key industry-accepted evaluation metrics. Given its footprint and performance, on a total cost of ownership basis, Core delivers outsized value. The combination of Core’s capabilities and its deployment flexibility unlocks vast new use cases. Core is comparable to GPT-4V on MMMU, outperforms Claude-3 Opus on our multimodal human evaluation conducted by an independent third party, and surpasses Gemini Ultra on video tasks. On language tasks, Core is competitive with other frontier models on well-established benchmarks. The table below summarizes a comparison of Core with leading models in the market today. 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