Compare Ling 3.0 Flash from InclusionAI and Ling 3.0 Flash (free) from InclusionAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Ling 3.0 FlashLing 3.0 Flash (free)ling-3.0-flash is Inclusionai's 124B Mixture-of-Experts (MoE) text model, designed for production-scale agentic inference and token-efficient text generation. Activating approximately 5.1B parameters per token, it offers an extensive 262,144-token context window alongside cost-effective pricing at $0.06 per 1M input, $0.18 per 1M output, and $0.01 per 1M cache tokens.
Developed by Inclusionai, ling-3.0-flash-free is a 124B-parameter Mixture-of-Experts (MoE) model with approximately 5.1B parameters activated per token. Featuring an expansive context length of 262,144 tokens, this model is built to handle extensive datasets and long-form content. It is designed with token efficiency and production-scale agentic inference as key priorities to enable seamless developer deployment.
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Ling 3.0 Flash accepts 262,144 and Ling 3.0 Flash (free) accepts 262,144 input tokens.
Ling 3.0 Flash accepts text input; Ling 3.0 Flash (free) accepts text input and supports reasoning, tool calling and long context.
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