Model card
Solar Pro 3 is a high-efficiency Mixture-of-Experts (MoE) model designed to bridge the gap between massive parameter counts and low-latency inference. By utilizing a 102B total parameter architecture with only 12B active parameters per forward pass, it offers the reasoning depth of a much larger model while maintaining the throughput characteristics of a mid-sized dense model. For developers, this means you can deploy sophisticated logic and complex instruction-following capabilities without the massive GPU overhead typically required for hundred-billion-scale models. With a substantial 131k context window, it is particularly well-suited for long-form document analysis, RAG-based workflows, and complex code generation tasks. Whether you are optimizing for cost-per-token or building high-concurrency applications, Solar Pro 3 provides a scalable alternative to monolithic dense architectures, offering a more predictable performance profile for production-grade AI agents.
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