Compare Laguna Xs 2.1 from Poolside 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.
Laguna Xs 2.1
Qwen3.8 Maxlaguna-xs-2.1 is Poolside's coding agent model, designed for coding and text generation tasks. It features a 262,144-token context window with cost-effective pricing across input, output, and prompt caching. Compared with Laguna XS.2, it represents Poolside's latest step forward in the 33B-A3B category.
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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Laguna Xs 2.1: $0.2/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Laguna Xs 2.1 accepts 262,144 and Qwen3.8 Max accepts 1,000,000 input tokens.
Laguna Xs 2.1 accepts text input; 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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