Compare Ling 3.0 Tiny (free) from InclusionAI and Qwen3.8 Max from Qwen 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 Tiny (free)
Qwen3.8 MaxLing 3.0 Tiny is a mixture-of-experts model from InclusionAI, featuring 1.3B active parameters out of a total of 7.9B. It is designed for responsive agents, instruction following, and multi-turn conversations, supporting an extensive context length of 262,144 tokens. This makes it an efficient and powerful choice for conversational AI applications.
Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Ling 3.0 Tiny (free) accepts 262,144 and Qwen3.8 Max accepts 1,000,000 input tokens.
Ling 3.0 Tiny (free) accepts text input and supports reasoning, tool calling and long context; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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